AI Deepfake CFO Scam Nets HK$200 Million

The event involves AI systems used to create deepfake images, which are synthetic media generated through AI tools. The circulation of these non-consensual deepfake images has caused direct harm to individuals' rights and dignity, constituting violations of human rights and harm to communities. The article details actual incidents of harm, including extortion and cyberstalking, and the ongoing impact on victims. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use has directly led to significant harm.

The article explicitly describes multiple realized harms caused by AI systems generating deepfakes, including scams, misinformation, reputational damage, and political manipulation. These harms fall under violations of rights and harm to communities. The AI systems involved are generative AI models trained to produce realistic fake videos and audio. The harms are direct and ongoing, not merely potential. Therefore, the event qualifies as an AI Incident rather than a hazard or complementary information.

The article explicitly references AI-generated explicit deepfakes that have caused harm by creating fake pornographic images of real people, which is a form of digital abuse and violence against victims. This constitutes a violation of rights and harm to communities. The discussion about children being exposed to or creating such content further underscores the realized harm and the need for awareness and prevention. Since the AI system's use has directly led to harm, this qualifies as an AI Incident rather than a hazard or complementary information.

The article clearly involves AI systems, specifically AI-powered deepfake generation technology that creates explicit fake images. It discusses the harms caused by such technology, including image-based abuse and emotional harm to victims, which fits the definition of harm to persons and communities. However, the article does not describe a particular event where harm has already occurred due to AI deepfakes; rather, it focuses on raising awareness, educating parents, and preventing harm. This aligns with the concept of an AI Hazard, where the development and use of AI deepfake technology could plausibly lead to harm. The article also serves as complementary information by providing guidance and context, but since the main focus is on the potential and ongoing risk rather than a specific incident or response, AI Hazard is the most appropriate classification.

The article explicitly mentions the creation and use of AI-generated deepfakes to deceive people into fraudulent financial schemes, resulting in actual monetary losses. This constitutes direct harm to individuals (financial harm) caused by the use of AI systems (deepfake generation and dissemination). Therefore, this event meets the criteria for an AI Incident as the AI system's use has directly led to harm (financial fraud) to groups of people.

The article explicitly details how AI-generated content is actively causing harm through misinformation, fraud, and manipulation, with concrete examples such as AI-generated fake news websites, voice phishing attacks using AI voice cloning, and deepfakes influencing public opinion. These harms are ongoing and have materialized, affecting individuals and society. The AI systems' development and use have directly led to these harms, fulfilling the criteria for an AI Incident rather than a hazard or complementary information.

The article explicitly mentions AI systems (deep learning algorithms) used to create deepfakes that have caused real harm, including misleading robocalls impersonating a political figure and non-consensual explicit images of celebrities. These incidents involve violations of rights and harm to individuals and communities, meeting the criteria for an AI Incident. The harms are realized, not just potential, and the AI system's use is central to the harm.

The article clearly describes multiple instances where AI-generated deepfakes have caused real harm to individuals and communities, such as scams, reputational damage, and misinformation campaigns. These harms fall under violations of rights and harm to communities. The involvement of AI systems in generating these deepfakes is explicit and central to the harms described. Therefore, the event qualifies as an AI Incident. Additionally, the article discusses responses and mitigation efforts, but the primary focus is on the realized harms caused by AI deepfake systems.

The article explicitly mentions AI systems generating deepfake content (audio and images) that have directly led to harm, such as financial fraud resulting in a $25 million loss. This constitutes harm to persons or groups (financial harm) and harm to communities through misinformation. The involvement of AI systems in generating deepfakes is clear, and the harms are realized, not just potential. Therefore, this qualifies as an AI Incident. The article also discusses regulatory and technological responses, but the primary focus is on the ongoing harm caused by AI deepfakes.

The article explicitly involves AI systems used to generate deepfakes and AI tools for detection, which are in active development and deployment. However, it does not describe a concrete event where harm has occurred due to these AI systems; rather, it discusses the potential for harm and the ongoing technological competition. This fits the definition of an AI Hazard, as the development and use of these AI systems could plausibly lead to harms such as misinformation, deception, and erosion of trust in information sources. There is no indication of a specific AI Incident or realized harm, nor is the article primarily about responses or updates, so it is not Complementary Information. It is clearly related to AI systems and their societal impact, so it is not Unrelated.

The event involves the use of generative AI systems to create realistic deepfake pornographic videos without consent, which constitutes a violation of human rights and causes harm to individuals and communities. The harm is realized and ongoing, as the deepfakes have gone viral and caused distress and humiliation. The AI system's use in generating these videos is central to the harm, making this an AI Incident under the framework. The article also discusses the broader societal and governance implications, but the primary focus is on the harm caused by the AI system's use.

The article explicitly describes the use of generative AI tools to create non-consensual, sexually explicit deepfake images of Taylor Swift, which were widely disseminated online, causing harm to her personal dignity and privacy. This meets the definition of an AI Incident as the AI system's use directly led to harm to a person. The altered Grammy speech, while less sophisticated and more of a shallow fake, also involves AI-generated synthetic media causing reputational harm. The article further discusses legal and regulatory responses to these harms, reinforcing the recognition of these events as realized AI-related harms. Therefore, the event is best classified as an AI Incident.

The article explicitly details the use of AI systems (deepfake video and audio generation) in spreading false information and misleading voters, which has already caused harm in elections in countries like Slovakia and Pakistan, and is occurring in the US. These harms include misinformation campaigns that influence election outcomes and voter suppression, which are significant harms to communities and democratic processes. Therefore, this qualifies as an AI Incident. The mention of legal and regulatory responses is complementary but does not change the primary classification.

The article explicitly involves AI systems, specifically AI and machine learning used for deepfake detection in real-time video identification. The harms described (financial fraud via deepfakes) are real and have occurred, but the article's main focus is on the launch of a detection solution to prevent such harms. Since no new harm event is reported here, and the focus is on a technological advancement and response to an existing problem, this fits the definition of Complementary Information. It provides supporting context and updates on AI-related developments addressing AI-driven fraud but does not itself report a new AI Incident or AI Hazard.

The article does not describe a specific AI Incident where harm has directly or indirectly occurred due to deepfakes, nor does it report a particular AI Hazard event where harm could plausibly occur imminently. Instead, it centers on parliamentary inquiries, government advisories, industry recommendations, and expert skepticism about technical solutions. These elements constitute complementary information that enhances understanding of the AI ecosystem, regulatory challenges, and societal concerns about deepfakes. Therefore, the event is best classified as Complementary Information.

The article describes the presence and use of AI-generated deepfakes that have already caused harm, such as misinformation and financial fraud. However, the main focus is on the White House's exploration of cryptographic verification as a preventive and detection measure against future deepfake harms. Since the article does not detail a new or specific AI incident causing direct or indirect harm but rather discusses potential mitigation strategies and the broader context of AI deepfake threats, it fits best as Complementary Information. It provides important context and updates on governance and technical responses to AI harms without reporting a new incident or hazard itself.

The event involves the use of an AI system (deepfake audio generation) that directly led to harm by misleading voters with false information, which constitutes harm to communities and potentially undermines democratic processes. The article describes a realized incident of AI misuse causing harm, meeting the criteria for an AI Incident. While it also discusses detection efforts and future challenges, the primary focus is on the actual harm caused by the deepfake robocall, not just potential or complementary information.

The event involves the use of deepfake AI technology to impersonate real individuals in a video call, which directly caused the employee to transfer $25.6 million to scammers. This constitutes an AI Incident because the AI system's use directly led to harm (financial loss) to the company. The involvement of AI is explicit and central to the scam's success, fulfilling the criteria for an AI Incident under the framework.

The article explicitly describes AI systems generating deepfakes that have directly led to financial fraud and deception in workplace settings, causing harm to organizations and individuals. This fits the definition of an AI Incident because the AI system's use and misuse have directly caused harm (financial theft, fraud, and security breaches). The article also discusses ongoing and future risks but the presence of actual incidents with harm realized takes priority. The discussion of mitigation strategies and AI solutions to combat deepfakes is complementary but secondary to the main focus on the harms caused by AI-generated deepfakes.

The article explicitly mentions the use of generative AI systems by criminals to produce realistic and convincing phishing content that has directly led to financial scams and fraud. This constitutes harm to individuals and organizations (harm to property and communities). The AI system's use in generating fake content and automating attacks is a direct contributing factor to these harms, fulfilling the criteria for an AI Incident.

The article explicitly mentions the use of generative AI systems to create realistic fraudulent content such as emails, videos, and voice calls that have been successfully used to trick employees into transferring money and sharing sensitive data. The example of a $25.6 million transfer based on a deepfaked video call is a direct harm caused by AI-enabled deception. The involvement of AI in the development and use of these scams is clear, and the harm (financial loss) has materialized. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use has directly led to significant harm.

The article clearly involves AI systems, specifically generative AI used maliciously to create more convincing phishing attacks. However, it does not report a concrete AI Incident (no specific realized harm event) but rather warns about the plausible future harm from AI-enhanced phishing attacks. Therefore, it fits the definition of an AI Hazard, as it describes circumstances where AI use could plausibly lead to harm (data breaches, security compromises) but does not document a specific incident of harm.

The article explicitly mentions that scammers use AI to draft fraudulent messages that look genuine, which is a use of AI systems to facilitate social engineering scams. The scams involve fake QR codes leading to malicious websites or malware installation, resulting in theft of personal data and financial loss. Since the article states that victims have lost money and reports these incidents, this constitutes an AI Incident under the framework, as the AI system's use has directly led to harm (financial loss) to people. The harm is realized, not just potential, so it is not an AI Hazard. The article is not merely complementary information or unrelated news, but a report of ongoing harm caused by AI-enabled scams.

The event involves the use of generative AI systems to produce realistic fake content (emails, videos, voice calls) that directly caused a significant financial loss through fraudulent money transfer. The AI system's use in generating deceptive content is central to the incident, fulfilling the criteria of an AI Incident due to direct harm to property and financial assets. The article provides specific examples of realized harm, not just potential risk, and discusses the AI system's role in enabling the scam. Therefore, this is classified as an AI Incident.

The article clearly involves AI systems, specifically generative AI and large language models, used maliciously to create phishing content. However, it does not report a concrete incident where harm has already occurred due to AI-powered phishing; rather, it warns about the growing threat and the plausible future harms such AI-enabled attacks could cause. Therefore, it fits the definition of an AI Hazard, as it describes circumstances where AI use could plausibly lead to harm (data breaches, financial loss, violation of rights) but does not document a realized incident. The focus is on the potential for harm and the need for defensive measures, not on an actual event of harm.

The event involves the use of an AI system (deepfake generative AI) in the commission of a fraud that caused significant financial harm to a company. The AI system's use directly led to the harm (loss of money) through impersonation and deception. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly caused harm to property and economic interests.

The event explicitly involves the use of AI-generated deepfake video and audio to impersonate a high-level executive, which directly caused significant financial harm to the company. The AI system's use in the scam is central to the incident, fulfilling the criteria of an AI Incident as the AI system's use directly led to harm (financial loss).

The event explicitly describes the use of deepfake AI technology to impersonate company executives and deceive employees, resulting in a large financial loss. The AI system's use here is malicious and directly caused harm (financial loss) to the victims. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to harm to property and individuals.

The event explicitly involves the use of AI deepfake technology to create fake video and audio of multiple persons in a video conference, which directly caused a significant financial loss through deception. This fits the definition of an AI Incident because the AI system's use directly led to harm to property (economic loss) through fraudulent impersonation. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The event involves the use of an AI system (Deepfake technology) in a malicious way to impersonate a high-ranking company official, which directly caused financial harm (loss of 2 billion HKD). The AI system's use was central to the scam's success, fulfilling the criteria for an AI Incident due to direct harm to property and financial assets. The involvement of AI in the fraud and the resulting realized harm clearly classifies this as an AI Incident rather than a hazard or complementary information.

The incident involves the use of AI deepfake technology (an AI system) to create fabricated video and audio of company executives, which was then used to deceive employees into transferring large sums of money. This directly caused financial harm (harm to property) to the company. The AI system's development and use were pivotal in enabling the fraud. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The event explicitly involves the use of AI-generated deepfake video and audio to impersonate a high-level executive, which directly caused the victim company to transfer large sums of money to the fraudsters. This is a direct harm to property and economic interests caused by the AI system's misuse. The harm has already occurred, and the AI system's role is pivotal in enabling the fraud. Therefore, this qualifies as an AI Incident under the framework.

The event explicitly involves the use of an AI system (deepfake technology) to manipulate video and audio in a multi-person video conference to impersonate company executives. This AI-enabled deception directly caused the victim company to transfer a large sum of money to fraudsters, resulting in significant financial harm. The harm is realized and directly linked to the AI system's use, meeting the criteria for an AI Incident under the framework.

The event involves the use of an AI system (deepfake technology) to create realistic fake videos and audio impersonating company executives. This AI-enabled deception directly caused financial harm (loss of 2 billion HKD) to the victim company, fulfilling the criteria of an AI Incident as the AI system's use directly led to harm to property and economic interests. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves the use of AI-generated deepfake technology to impersonate a high-level executive, which directly led to a significant financial fraud. The AI system's use in generating realistic fake video and audio was pivotal in deceiving the victim and causing the harm. Therefore, this qualifies as an AI Incident under the definition of an event where AI use has directly led to harm (financial loss).

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake video and audio content for a fraudulent purpose. The AI system's use directly caused significant financial harm (loss of 2 billion HKD) to a person/group, which qualifies as harm to property. Therefore, this is an AI Incident as the AI system's use directly led to realized harm.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake video and audio impersonations. The AI system was used in the fraud's execution, directly causing financial harm (loss of HKD 200 million) to the victim company. The harm is realized and significant, meeting the criteria for an AI Incident. The use of AI was central to the deception and the resulting harm, not merely a potential or future risk, nor a complementary update or unrelated news.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which was instrumental in deceiving employees and causing significant financial loss. The harm (financial loss to the company) has already occurred and is directly linked to the AI system's use. Therefore, this qualifies as an AI Incident due to realized harm caused by the AI system's use in fraud.

The event involves the use of an AI system (generative AI for deepfake video creation) that has directly led to harm in the form of scams and misinformation on social media, which affects individuals and communities. This fits the definition of an AI Incident because the AI system's use has directly caused harm (financial and societal). The article does not merely warn about potential harm but describes ongoing harm caused by AI-generated deepfake scams.

The article centers on policy discussions and proposed regulatory approaches to deepfake content, which is AI-generated media. While deepfakes can cause harm, the article does not describe any realized harm or a specific event where deepfakes caused injury, rights violations, or other harms. It also does not describe a credible imminent risk or near miss event. Therefore, it does not qualify as an AI Incident or AI Hazard. Instead, it provides complementary information about governance and societal responses to AI-related challenges, fitting the definition of Complementary Information.

The event involves AI systems explicitly through the creation and dissemination of deepfake audio recordings that misrepresent political candidates. These deepfakes directly led to harm by misleading voters, influencing election results, and undermining trust in democratic processes, which fits the definition of an AI Incident due to harm to communities and violations of rights. The article provides concrete examples of harm already occurring, such as the defeat of a candidate following the spread of a deepfake, and the use of AI-generated robocalls to suppress voter turnout. Therefore, this is classified as an AI Incident rather than a hazard or complementary information.

The event involves AI-generated deepfake content, which is an AI system application. However, the article does not describe any actual harm or incident caused by deepfakes, nor does it report a specific event where harm occurred or was narrowly avoided. Instead, it reports on ongoing policy discussions and proposals for future regulation, which is a governance response to potential AI-related harms. Therefore, this is Complementary Information as it provides context and updates on societal and governance responses to AI-related issues without describing a new AI Incident or AI Hazard.

The event involves AI systems generating deepfake content that has already caused harm by spreading false information affecting an election outcome in Slovakia, which qualifies as harm to communities and a violation of democratic rights. The article also warns of plausible future harms in the U.S. election context. Since actual harm has occurred and the AI system's role is pivotal in causing disinformation and election interference, this qualifies as an AI Incident rather than a hazard or complementary information.

The event involves AI systems explicitly used to create deepfake audio recordings that spread false information about a political candidate, which directly influenced public opinion and election outcomes, constituting harm to communities and democratic rights. The article details realized harm from AI-generated content and the challenges in mitigating such harms, fitting the definition of an AI Incident. The discussion of legislative and societal responses complements the incident but does not overshadow the primary harm caused by the AI-generated deepfakes.

The article clearly involves AI systems, specifically generative AI used to create deepfakes that cause or could cause harm such as misinformation, political manipulation, scams, and violations of privacy and consent. However, it does not describe a particular event where harm has directly occurred due to an AI system's malfunction or misuse; instead, it focuses on the potential and ongoing societal risks and the need for educational and policy responses. Therefore, it fits the definition of Complementary Information, as it provides context, analysis, and recommendations related to AI harms without reporting a discrete AI Incident or a narrowly defined AI Hazard event.

The event explicitly involves the use of AI (deepfake technology) to impersonate individuals and commit fraud, resulting in a direct financial loss of $26 million. The harm is realized and significant, involving deception and financial theft facilitated by AI-generated content. This fits the definition of an AI Incident, as the AI system's use directly led to harm (financial loss) to a group (the multinational firm). The article also discusses broader societal and legal responses to deepfakes, but the primary event is the fraud case itself, which is a clear AI Incident.

The article does not describe a specific AI Incident or AI Hazard but rather covers the policy and regulatory discourse around deepfake technology. It mentions potential harms from malicious deepfakes but does not report any realized harm or a specific event where AI caused harm. Therefore, it fits the category of Complementary Information as it provides context and updates on governance responses to AI-related challenges.

The incident involves the use of AI systems to generate deepfake video and audio participants in a video conference, which directly led to a large-scale financial fraud. The harm (loss of HK$200 million) is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly caused harm to property and individuals.

The event involves the use of AI-generated deepfake technology to impersonate a senior company officer, which directly led to financial loss (harm to property) through deception. The AI system's role in creating convincing fake video and audio was pivotal in causing the harm. Therefore, this qualifies as an AI Incident because the AI system's use directly led to significant harm (financial loss) to the company.

The event involves the use of AI-generated deepfakes in a video conference to impersonate real colleagues, tricking the clerk into transferring a large sum of money to fraudsters. The AI system's role was pivotal in enabling the scam by creating realistic fake participants, directly causing financial harm. This fits the definition of an AI Incident as the AI system's use directly led to harm (financial loss) to the company, fulfilling the criteria of harm to property and economic interests.

The event involves the use of AI systems to create deepfake video and audio that impersonated company officers, which directly led to the employee transferring £20m to fraudsters. This is a clear case where AI-generated content was used maliciously to cause significant financial harm, fulfilling the criteria for an AI Incident. The harm is realized (financial loss), and the AI system's role is pivotal in enabling the deception. Hence, it is not merely a hazard or complementary information but an AI Incident.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company employees, which directly led to a significant financial loss (harm to property) through fraudulent transactions. The AI system's use was central to the deception and harm, fulfilling the criteria for an AI Incident as the AI system's use directly caused harm.

The event explicitly involves the use of AI technology to create deepfake video and audio that impersonated company executives, which directly caused the employee to transfer £20m to fraudsters. This is a direct harm to property caused by the malicious use of an AI system. The AI system's role is pivotal in enabling the deception and resulting financial loss. Therefore, this qualifies as an AI Incident under the framework definitions.

The event involves the use of AI-generated deepfake videos to impersonate company executives, which directly led to a significant financial theft. The harm (loss of $20 million) is a direct consequence of the AI system's use in the scam. The AI system's role is pivotal in enabling the deception and subsequent fraudulent transfers. Hence, this is an AI Incident as per the definitions provided.

The event involves the use of AI systems to create deepfake video and audio impersonations that directly caused significant financial harm to the victim. The AI-generated content was pivotal in deceiving the clerk into making unauthorized transactions, fulfilling the criteria for an AI Incident due to realized harm (financial loss) caused by the AI system's use.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake video content that was instrumental in deceiving the victim into transferring a large amount of money. This constitutes direct harm to property (financial loss) caused by the malicious use of AI, fitting the definition of an AI Incident. The harm has already occurred, and the AI system's role is pivotal in enabling the fraud.

The event involves an AI system (deepfake technology) used maliciously to impersonate individuals in a video call, which directly led to significant financial harm (loss of approximately US$25 million). This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (the victim) through fraud. The involvement of AI is explicit and central to the incident, and the harm is realized, not just potential.

The event explicitly involves the use of an AI system (deepfake technology) to impersonate real people in a video call, which directly caused a large financial theft. The harm is realized and significant, involving deception and monetary loss. The AI system's use was central to the incident, enabling the fraud. Hence, it meets the criteria for an AI Incident due to direct harm caused by the AI system's use in criminal activity.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake video and audio content that impersonated company executives. This AI-generated content was used maliciously to deceive an employee into transferring money, resulting in a direct financial loss of approximately Rp 401.8 billion. This constitutes a clear AI Incident because the AI system's use directly caused significant harm to property and economic interests. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The incident involves the use of an AI system (deepfake technology) in the malicious impersonation of individuals during a video conference, which directly caused financial harm to a person. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to an individual, fulfilling the criteria of harm to a person or group. Therefore, this event is classified as an AI Incident.

The article explicitly mentions the use of deepfake technology, an AI system, to create realistic fake video conference participants and emails to deceive the victim. This use of AI directly caused financial harm through fraud, meeting the criteria for an AI Incident due to harm to property. The involvement of AI is clear and central to the incident, and the harm has already occurred.

The incident involves the use of AI systems to generate deepfake video and audio that impersonated company officials in a video conference call. This AI-enabled deception directly led to the loss of over US$25 million by the company, which is a clear harm to property. The AI system's role is pivotal as the fraud would not have been possible without the AI-generated realistic fake videos and voices. Therefore, this qualifies as an AI Incident due to the direct financial harm caused by the malicious use of AI deepfake technology.

The event involves the use of an AI system (deepfake technology) to deceive employees into transferring funds, directly causing financial harm (loss of approximately Rp 403 billion). The AI system's use led directly to the harm, fulfilling the criteria for an AI Incident under the harm to property category. Therefore, this is classified as an AI Incident.

The event involves the use of an AI system (deepfake technology) in a malicious manner to commit fraud, resulting in direct financial harm to a person or group (the victim company). The AI system's outputs (fake video and audio) were pivotal in deceiving the victim and causing the harm. This fits the definition of an AI Incident, as the AI system's use directly led to significant harm (financial loss and identity theft).

The event involves the use of deepfake AI technology to create convincing fake video and images that directly led to financial loss (Rp 403 billion) for a company and reputational harm to a public figure. The AI system's use in impersonation and creation of fake content caused direct harm, fulfilling the criteria for an AI Incident. The harms include financial damage and violation of personal rights, both recognized under the AI Incident definition. Therefore, this event is classified as an AI Incident.

The event involves the use of a deepfake AI system to impersonate real people in a video conference, which directly led to the victim transferring 25.6 million USD to fraudsters. This constitutes a clear harm to property and financial assets caused by the AI system's malicious use. Therefore, it meets the criteria of an AI Incident as the AI system's use directly led to significant harm.

The scammers used AI-generated deepfake video to impersonate company executives in a group video call, which directly caused the company to lose $26 million through fraudulent transfers. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident due to harm to property caused by the AI system's outputs.

The event explicitly involves an AI system (deepfake AI) used maliciously to create fabricated video content that deceived a finance worker into transferring a large sum of money. This constitutes direct harm to property (financial loss) caused by the AI system's use. Therefore, it meets the criteria for an AI Incident as the AI system's use directly led to significant harm.

The use of deepfake technology to impersonate executives and cause a large financial loss is a clear example of an AI Incident. The AI system (deepfake generative AI) was used maliciously to deceive and cause harm. The harm is realized and significant, involving a direct link between the AI system's use and the financial loss. Therefore, this event meets the criteria for an AI Incident.

The scammers used AI-generated deepfake videos and voices to impersonate executives, which directly caused the employee to transfer a large sum of money fraudulently. This is a clear case where the AI system's use led to direct harm (financial loss) to the company, fitting the definition of an AI Incident. The harm is realized and significant, involving deception through AI-generated content causing economic damage.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly led to a financial loss of US$25 million. This constitutes harm to property and individuals, fulfilling the criteria for an AI Incident. The AI system's use was malicious and directly caused the harm, not just a potential risk or background context.

The event involves the use of AI-generated deepfake videos and audio to impersonate real individuals, which directly led to a large financial loss. The AI system's use here is central to the harm, fulfilling the criteria for an AI Incident due to the direct harm caused (financial loss) through malicious use of AI technology.

The event involves the use of an AI system (deepfake technology) in the commission of a fraud that directly caused harm (financial loss) to a person or group (the multinational firm). The AI system's use was central to the deception and the resulting harm, fulfilling the criteria for an AI Incident. The harm is realized and significant, and the AI system's role is pivotal in causing it.

The event involves the use of deepfake AI technology, which is an AI system capable of generating realistic fake video and audio content. The scammer used this AI system to impersonate company executives convincingly, which directly caused the company to lose $25 million. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident under harm to property and economic interests.

The event involves the use of an AI system (deepfake technology) to impersonate real people in a video conference, which directly led to a financial loss of $25.6 million. This constitutes harm to property and financial assets, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused the harm, not just a potential or future risk, so it is not an AI Hazard or Complementary Information.

The use of deepfake AI technology to create convincing fake video and audio of executives directly led to the financial fraud and loss. This constitutes an AI Incident because the AI system's use was pivotal in causing harm (financial loss) through deception. The harm is realized and significant, meeting the criteria for an AI Incident rather than a hazard or complementary information.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly led to significant financial harm (loss of $25 million) to the company. This fits the definition of an AI Incident because the AI system's use directly caused harm to property (financial loss). The involvement of AI is explicit and central to the incident, and the harm is realized, not just potential.

The incident involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company officials, which directly led to the victim company transferring large sums of money to fraudsters. This constitutes harm to property and financial loss, fitting the definition of an AI Incident. The AI system's use was central to the scam's success, causing direct harm through deception and financial exploitation.

The event involves the use of AI systems (deepfake technology) to create realistic video and audio impersonations that directly led to a large financial loss, which constitutes harm to property. The AI system's use was malicious and directly caused the harm, fitting the definition of an AI Incident. The involvement of AI is explicit and central to the scam's success, and the harm is realized, not just potential.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly caused a financial loss of $25 million. This constitutes harm to property and financial assets, fitting the definition of an AI Incident. The AI system's use was malicious and led directly to the harm, not merely a potential or future risk. Therefore, this is classified as an AI Incident.

The scammers used AI-generated deepfake videos to impersonate the CFO and others, which directly caused the company to lose $26 million through fraudulent transfers. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident.

The event involves the use of AI-generated deepfake technology to fabricate realistic video and audio representations of company officials, which directly led to a large financial loss. The AI system's use here is central to the harm, as it enabled the perpetrators to convincingly impersonate trusted individuals and manipulate employees into transferring funds. This fits the definition of an AI Incident because the AI system's use directly caused significant harm to property (financial loss).

The event involves the use of AI systems to generate deepfake videos and voices impersonating real people, which directly caused a large financial loss through fraud. The AI system's role is pivotal in enabling the scam by convincingly mimicking multiple individuals in a video call, leading to the victim's deception and the transfer of funds. This constitutes an AI Incident as the AI system's use directly led to harm (financial loss) to a person and organization.

The hackers employed AI-based deepfake systems to create realistic video and voice representations of company executives, deceiving employees into authorizing fraudulent transactions. This misuse of AI technology directly caused substantial financial loss, fulfilling the criteria for an AI Incident due to harm to property and economic harm. The AI system's role was pivotal in enabling the scam, and the harm has already occurred.

The event involves the use of an AI system (deepfake technology) to create synthetic audio-visual content that impersonated real employees, which directly led to a financial loss of over $25 million. This constitutes harm to property and financial assets caused by the use of an AI system. Therefore, it meets the criteria of an AI Incident because the AI system's use directly caused significant harm.

The event involves the use of AI-generated deepfake videos and voice emulation to impersonate company executives, which directly caused a financial scam resulting in a $26 million loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, a form of harm to property. The involvement of generative AI in the scam and the realized harm confirm this classification.

The event involves the use of AI-generated deepfake videos and audio to impersonate company executives, which directly led to a significant financial loss. The harm to property (financial loss) is realized and directly linked to the malicious use of an AI system. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly caused harm.

The event involves the use of an AI system (deepfake technology) to create manipulated video and audio that directly led to a significant financial harm to a company. The AI system's use was central to the scam and the resulting harm, fulfilling the criteria for an AI Incident due to the direct harm caused by the AI-enabled deception.

The article explicitly mentions the use of AI systems (deepfake technology) in the development and use phases to create realistic fake videos and audio that directly caused financial harm (the $38.8 million scam) and facilitated other fraudulent activities. The involvement of AI is central to the harm, as the deepfakes were pivotal in deceiving victims and bypassing security measures. The political deepfake robocall represents a direct harm to democratic processes and voter rights. Therefore, the event meets the criteria for an AI Incident due to realized harms caused by AI system use.

The event involves the use of AI systems (deepfake technology) to impersonate individuals in a video call, which directly led to a financial scam and loss. The harm is realized and significant, involving deception and fraud facilitated by AI. Therefore, it meets the criteria for an AI Incident as the AI system's use directly caused harm to property (financial assets) and the company.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of a CFO, which directly led to a financial loss (harm to property) for the company. The harm has already occurred, and the AI system's role is pivotal in enabling the scam. Therefore, this qualifies as an AI Incident under the framework, as it involves realized harm caused by the use of an AI system.

The event explicitly involves the use of deepfake AI technology to create convincing fake video and audio representations of real individuals, which directly caused the victim employee to transfer a large sum of money to scammers. This is a direct harm to property caused by the use of an AI system (deepfake technology). The scam's success depended on the AI system's ability to convincingly impersonate real people, fulfilling the criteria for an AI Incident. The harm is realized and significant, not merely potential, and the AI system's role is pivotal in causing the incident.

The event explicitly involves the use of AI (deepfake technology) to impersonate company executives in a video call, which directly caused the employee to transfer a large sum of money to fraudsters. This is a clear case of AI misuse leading to financial harm (harm to property). The AI system's role is pivotal as the fraud relied on the convincing deepfake video and audio to deceive the victim. Hence, it meets the criteria for an AI Incident.

The event involves the use of AI-generated deepfake video and audio to impersonate trusted individuals, leading directly to a financial loss of approximately $25 million. This constitutes harm to property and financial assets caused by the malicious use of an AI system. The harm has already occurred, and the AI system's role is pivotal in enabling the scam. Therefore, this qualifies as an AI Incident under the OECD framework.

The event explicitly involves the use of AI deepfake technology to impersonate company executives in a video conference, which directly led to the worker transferring a large sum of money to scammers. This is a direct harm caused by the AI system's use (deepfake generation) in a malicious context, fulfilling the criteria for an AI Incident. The harm is realized and significant, involving financial loss and fraud. The involvement of AI is explicit and central to the incident, and the harm is direct and material.

The event involves the use of an AI system (deepfake technology) in the malicious use phase, where the AI-generated avatars and voice clones were used to deceive employees into transferring funds fraudulently. This directly led to financial harm (loss of over Rs 200 crore) to the company, which qualifies as harm to property and economic interests. Therefore, this is an AI Incident as the AI system's use directly caused significant harm.

The event involves the use of deepfake AI technology to create realistic fake video and audio of company employees, which was used to deceive a finance worker into transferring a large sum of money to fraudsters. This is a direct harm caused by the AI system's use (misuse) leading to financial loss, which fits the definition of an AI Incident. The harm is realized and significant, and the AI system's role is pivotal in enabling the scam.

The event involves the use of AI-generated deepfake videos and synthetic voices to impersonate real individuals, which directly caused the employee to transfer a large sum of money to fraudulent accounts. This is a direct harm (financial loss) caused by the malicious use of an AI system. The harm is realized and significant, meeting the criteria for an AI Incident. The involvement of AI is explicit and central to the incident's occurrence.

The event involves the use of AI-generated deepfake technology to impersonate company executives in a video call, which directly led to a large financial loss due to deception. This fits the definition of an AI Incident because the AI system's use directly caused harm to property (the stolen money). The harm is realized and significant, and the AI system's role is pivotal in enabling the scam.

The event involves the use of an AI system—deepfake technology—to create a realistic but fake video of the CFO. This AI-generated content was used maliciously to deceive employees and cause significant financial harm to the company. The harm (financial loss) has already occurred and is directly linked to the AI system's use. Therefore, this qualifies as an AI Incident due to realized harm caused by the malicious use of an AI system.

The event involves the use of AI systems (deepfake video and voice synthesis) to impersonate real individuals in a video call, which directly caused a significant financial loss ($25 million) due to the victim being deceived into transferring funds. The harm is realized and directly linked to the AI system's malicious use. Therefore, it meets the criteria for an AI Incident as the AI system's use directly led to harm (financial theft).

The event involves the use of AI-generated deepfake technology to impersonate individuals in a video conference, which directly led to a significant financial loss due to fraudulent transfers. This fits the definition of an AI Incident because the AI system's use directly caused harm (financial loss) to a person or group (the company). The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves the use of AI systems—real-time deepfake technology—to impersonate individuals in a video call. This AI use directly led to a large-scale financial fraud, causing harm to property (corporate funds). The harm is realized and significant, meeting the criteria for an AI Incident. The AI system's role is pivotal in enabling the scam, as the convincing deepfake video and audio caused the employee to transfer funds mistakenly. Therefore, this is classified as an AI Incident.

The event involves the use of AI systems (deepfake technology) to create realistic fake videos of company personnel, which directly led to a large-scale financial theft. This constitutes an AI Incident because the AI system's use directly caused harm (financial loss) to a group of people (the company). The involvement of AI is explicit and central to the incident, and the harm is clearly articulated and materialized.

The scammers used AI-generated deepfake video calls to impersonate company executives convincingly, leading to fraudulent financial transactions and a significant monetary loss. This is a clear case where the AI system's use directly caused harm (financial loss) to the company, fitting the definition of an AI Incident due to harm to property. The involvement of AI is explicit in the use of deepfake technology, and the harm has already occurred.

The use of deepfake technology, an AI system capable of generating realistic fake videos, was central to the scam that caused a substantial financial loss to the company. The employee was misled by the AI-generated video call into transferring large sums of money to fraudulent accounts. This constitutes direct harm caused by the AI system's use, fulfilling the criteria for an AI Incident under the framework, specifically harm to property. The event is not merely a potential risk but a realized harm, so it is classified as an AI Incident rather than an AI Hazard or Complementary Information.

The event explicitly involves the use of deepfake AI technology to create realistic fake video and audio representations of company officials, which directly led to the victimized employee transferring large sums of money to scammers. The harm is realized and significant (financial loss of over $25 million). The AI system's malicious use was pivotal in causing this harm, fulfilling the criteria for an AI Incident under the framework.

The scammers employed AI systems capable of generating realistic deepfake video and synthetic voices to impersonate trusted individuals, deceiving the employee into authorizing large financial transactions. This misuse of AI technology directly caused significant financial harm to the company, which qualifies as harm to property and economic interests. The AI system's role was pivotal in enabling the scam, meeting the definition of an AI Incident due to realized harm resulting from the AI system's use.

The event involves the use of an AI system (deepfake technology) to create digitally altered video and audio that deceived employees into transferring large sums of money. This directly caused significant financial harm to the company, which qualifies as harm to property. The AI system's use was central to the scam's success, making this an AI Incident under the framework's definition of harm caused by AI system use.

The event involves the use of an AI system (deepfake generative AI) in the malicious impersonation of company executives, which directly led to a significant financial loss (harm to property). This fits the definition of an AI Incident because the AI system's use directly caused harm. The harm is realized and substantial, and the AI system's role is pivotal in enabling the scam.

The event explicitly involves an AI system (deepfake technology) used in the scam. The AI-generated deepfake videos directly led to the employee being deceived and transferring HK$200 million to fraudulent accounts, constituting a clear harm to property. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant financial harm.

The event clearly involves an AI system, specifically deepfake technology, used in the malicious impersonation of company personnel. The use of AI-generated video content directly led to a financial loss (harm to property) of HK$200 million. This meets the criteria for an AI Incident because the AI system's use directly caused significant harm. The harm is realized, not just potential, and the AI system's role is pivotal in the scam's success.

The event explicitly involves the use of AI deepfake technology to create realistic fake video representations of company staff, which directly caused the victim to be defrauded of approximately USD 25 million. This meets the definition of an AI Incident because the AI system's use directly led to significant harm (financial loss) and deception. The involvement of AI is clear and central to the harm, and the harm is realized, not just potential.

The event involves the use of AI systems (deepfake technology) to create highly convincing fake video and audio of real people, which was instrumental in deceiving the victim into transferring large sums of money. The harm (financial loss) has already occurred and is directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm to property and the victimized community (the company).

The event involves the use of an AI system (deepfake technology) to impersonate real people in a video call, which directly led to a significant financial loss ($25.6 million) for the company. This constitutes harm to property and financial assets, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused the harm, not just a potential or future risk, so it is not an AI Hazard or Complementary Information.

The event involves the use of an AI system (deepfake technology) to create realistic fake videos that tricked an employee into transferring a large sum of money to scammers. This misuse of AI directly led to financial harm, which qualifies as harm to property and economic interests. Therefore, this is an AI Incident because the AI system's use directly caused significant harm.

The event involves the use of AI systems (deepfake technology and AI-generated voices) to create realistic fake representations of company personnel. This AI-enabled deception directly caused significant financial harm to the company, fulfilling the criteria for an AI Incident as the AI system's use led to harm (financial loss) indirectly through fraud.

The event explicitly involves the use of AI systems (deepfake AI) to impersonate individuals in video calls, which directly led to a significant financial loss due to deception. The harm is realized and significant, meeting the criteria for an AI Incident. The involvement of AI in fraudulent loan applications and identity deception further supports this classification. The harm is not potential but has occurred, so it is not an AI Hazard. It is not merely complementary information or unrelated news, as the AI system's malicious use directly caused harm.

The event involves the use of AI systems (deep learning-based deepfake technology) to create realistic fake video conference participants. The AI system's use directly led to financial harm (the theft of approximately £20 million) through deception. This constitutes an AI Incident because the AI system's use was pivotal in causing the harm, fulfilling the criteria of harm to property and financial loss due to malicious use of AI-generated content.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which directly led to a financial loss of Rs 212 crore due to fraudulent money transfers. This constitutes harm to property and financial assets caused by the malicious use of AI, fitting the definition of an AI Incident. The harm is realized and directly linked to the AI system's use in the scam.

The event involves the use of AI-generated deepfake video and audio to impersonate real people in a Zoom call, which is an AI system application. The misuse of this AI system directly caused a large-scale financial fraud, constituting harm to property and communities. Therefore, this qualifies as an AI Incident because the AI system's use directly led to significant harm.

The event involves the use of AI systems to generate deepfake videos and audio that impersonated real individuals in a video conference. This AI-enabled deception directly led to significant financial harm (loss of $25.6 million) to the victim. The harm is realized and directly linked to the AI system's malicious use, fitting the definition of an AI Incident due to harm to a person (financial harm) caused by the AI system's outputs.

The event involves the use of an AI system (deepfake technology) in the malicious use context, where the AI-generated fake video conference call directly led to significant financial harm (theft of $25.6 million). This fits the definition of an AI Incident because the AI system's use directly caused harm to property (financial loss) and communities (the company and its stakeholders). The harm is realized, not just potential, and the AI system's role is pivotal in enabling the scam.

The event explicitly involves the use of an AI system (deepfake technology) in the scam. The AI system's use directly led to significant financial harm to the company and the individual worker. The deepfake video call was central to the deception and the resulting loss. Therefore, this qualifies as an AI Incident due to realized harm caused by the malicious use of AI-generated content.

The event involves the use of AI-generated deepfake video and audio to impersonate real individuals, which directly led to a large financial loss. This fits the definition of an AI Incident because the AI system's use (malicious use of deepfake technology) directly caused harm (financial loss) to a person or organization. The harm is significant and clearly articulated, and the AI system's role is pivotal in enabling the scam.

The event involves the use of AI-generated deepfake videos, which are AI systems capable of generating realistic synthetic media. The scam directly caused financial harm to the company, which qualifies as harm to property. The AI system's use was central to the fraud, making it an AI Incident due to the realized harm caused by the malicious use of AI-generated content.

The article explicitly mentions the use of advanced deepfake technology, an AI system capable of generating realistic video and audio impersonations, to deceive an employee into making unauthorized transfers. The harm (financial loss) has already occurred, and the AI system's role was pivotal in enabling the scam. Therefore, this event meets the criteria for an AI Incident as the AI system's use directly led to significant harm to property (financial assets).

The event involves the use of AI systems (deepfake technology) in the malicious impersonation of company executives, which directly led to a large financial loss (harm to property). The AI system's use was central to the fraud's success, fulfilling the criteria for an AI Incident. The harm is realized and significant, not merely potential. Therefore, this qualifies as an AI Incident rather than a hazard or complementary information.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio representations of real individuals, which directly caused a financial loss of $25.6 million. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a person or group (the company). The harm is realized and significant, and the AI system's role is pivotal in enabling the scam.

The event involves the use of AI systems (deepfake technology) in the malicious impersonation of company executives and staff, which directly led to a large financial loss (harm to property) for the victim. The AI system's use was central to the fraud's success, fulfilling the criteria for an AI Incident. The article also mentions multiple arrests and other AI-enabled frauds, confirming realized harm rather than potential harm. Therefore, this is classified as an AI Incident.

The event explicitly involves an AI system (deepfake technology) used in the malicious impersonation of company staff during a video call. This AI use directly led to a large financial loss, which constitutes harm to property. The incident is a clear case of AI misuse causing realized harm, fitting the definition of an AI Incident. The involvement of AI is central and pivotal to the harm, as the deepfakes enabled the scam to succeed.

The event involves the use of AI systems to create deepfake videos and voices that impersonated a CFO, which directly led to significant financial harm (loss of $25 million) to a person and a company. The AI system's outputs were pivotal in deceiving the victim and causing the harm. This fits the definition of an AI Incident because the AI system's use directly led to harm to a person/group (financial loss) and harm to property (company money).

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio representations of executives, which was instrumental in deceiving an employee and causing significant financial harm. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a group (the company). The harm is materialized, not just potential, and the AI system's role is pivotal in the scam's success.

The event involves the use of generative AI (deepfake technology) to impersonate company executives, which directly led to a significant financial loss. The AI system's use was malicious and instrumental in the scam, fulfilling the criteria for an AI Incident due to realized harm (financial loss) caused by the AI system's outputs. Therefore, this is classified as an AI Incident.

The event involves the use of generative AI (deepfake technology) to impersonate executives, which directly caused a financial loss of €30.4 million through fraudulent transfers. This is a clear case where the AI system's use led to harm (financial/property harm). Therefore, it meets the criteria for an AI Incident due to direct harm caused by the AI system's outputs (deepfake videos and voice emulation) facilitating the scam.

The event involves the use of AI systems (deepfake generation software) to create realistic fake videos and voices that deceived an employee into transferring large sums of money fraudulently. This directly caused financial harm (harm to property) to the corporation. The AI system's use was central to the incident, as the fraud relied on the convincing AI-generated impersonations. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The event involves the use of AI deepfake technology (an AI system) to create realistic fake video and audio of company employees, which directly caused the company to transfer a large sum of money to scammers. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident under harm to property and economic interests. Therefore, the event is classified as an AI Incident.

The event explicitly involves the use of deepfake AI technology to impersonate company executives in a video call, which directly caused the company to lose $25.6 million through fraudulent transfers. This meets the definition of an AI Incident because the AI system's use directly led to harm to property (financial loss). The involvement of AI is clear and central to the incident, and the harm is realized, not just potential.

The use of AI-generated deepfake videos directly led to a significant financial loss by deceiving an employee into transferring a large sum of money. The AI system's role was pivotal in enabling the scammers to convincingly impersonate executives, which directly caused harm (financial loss). This fits the definition of an AI Incident as the AI system's use led to harm to property (financial assets) and communities (the company and its stakeholders).

The event explicitly involves the use of AI-generated deepfake video technology to impersonate a high-ranking official, which directly caused a large financial loss due to the employee being deceived. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, fulfilling the criteria of harm to property and economic interests. The involvement of AI is explicit and central to the incident, and the harm is realized, not just potential.

The scammers used AI-generated deepfake videos and voice emulation to impersonate company executives, which directly caused the financial loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, a form of harm to property. The event is not merely a potential risk or a general update but a realized harm caused by AI misuse.

The event involves the use of AI-generated deepfake video and audio to impersonate real individuals in a video meeting, which directly caused the company to lose USD 25.6 million through fraudulent instructions. The AI system's role in creating realistic fake representations was pivotal to the scam's success, fulfilling the criteria for an AI Incident due to realized harm (financial loss) caused by the AI system's use.

The event involves the use of deepfake AI technology to create realistic video representations of company executives, which directly led to a scam causing financial harm. The AI system's use in impersonation and deception directly caused harm to the employee and the company, fulfilling the criteria for an AI Incident due to harm to property and financial loss.

The event involves the use of AI systems (deepfake generation) in the malicious use phase, where AI-generated video and audio were used to deceive an employee into transferring a large sum of money. This directly caused financial harm (harm to property) to the company. The involvement of AI is explicit and central to the incident, and the harm has already occurred. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The article explicitly states that deepfake AI technology was used to impersonate executives during a video conference, leading to the unauthorized transfer of a large sum of money. This is a direct harm caused by the use of an AI system (deepfake generation) in a fraudulent scheme. The harm is materialized (theft of $26 million), fulfilling the criteria for an AI Incident under the framework. The involvement of AI is clear and central to the incident, and the harm is significant and clearly articulated.

The scam explicitly involved AI systems in the form of deep fake videos and voices to impersonate multiple individuals in a video conference, which directly led to financial harm (HK$200 million lost). The AI system's use was central to the deception and the resulting harm, fulfilling the criteria for an AI Incident due to direct harm caused by the AI-enabled scam.

The scam involved the use of a deepfake AI system to generate a virtual video impersonating a high-ranking executive, which was used to deceive employees into transferring large sums of money. This is a direct harm caused by the AI system's use, fulfilling the criteria for an AI Incident due to the realized financial harm and deception enabled by AI-generated content.

The scammers used AI-generated deepfake video to impersonate the company's CFO and others, which directly caused the company to lose HK$200 million through fraudulent transfers. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident.

The event involves the use of an AI system (deepfake technology) to create synthetic media that impersonated company executives, leading directly to a large-scale financial fraud. The harm (loss of $25.6 million USD) is realized and directly caused by the AI system's outputs. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm to property and economic interests.

The event involves the use of an AI system (deepfake technology) in the malicious impersonation of company executives, which directly led to significant financial harm. The AI system's use here is central to the incident, as the scam relied on the realistic AI-generated video and audio to deceive the employee. This fits the definition of an AI Incident because the AI system's use directly caused harm (financial loss) to a person or group (the company).

The event involves the use of an AI system (deepfake technology) to impersonate company executives and staff in a video call, which directly caused a large financial loss due to fraud. The harm is materialized and significant, involving deception and financial damage. Therefore, this qualifies as an AI Incident because the AI system's use directly led to harm (financial loss) through malicious use of AI-generated content.

The article explicitly involves AI systems (deepfake technology, AI-generated voices, large language models) used maliciously to cause direct harm, including financial fraud, identity theft, and misinformation. The $25 million fraud incident is a concrete example of harm caused by AI-generated deepfakes impersonating real people. Other examples of AI-generated fake content causing reputational and emotional harm further support this classification. The harms are realized, not just potential, and the AI systems' role is pivotal in enabling these harms. Therefore, this event meets the criteria for an AI Incident.

The event explicitly involves the use of deepfake AI technology to create realistic fake video and audio representations of staff members, which directly led to a large financial loss. This constitutes harm to property and a violation of legal rights due to fraudulent deception. The AI system's use was central to the incident, fulfilling the criteria for an AI Incident as the harm has materialized and is directly linked to the AI system's use.

The event explicitly involves the use of AI systems to create deepfake videos and audio that impersonated company executives. This AI-enabled deception directly led to a significant financial loss, which constitutes harm to property. The AI system's role was pivotal in enabling the scam, fulfilling the criteria for an AI Incident. The harm is realized and materialized, not just potential, so it is not an AI Hazard. The event is not merely complementary information or unrelated news, but a clear case of AI-enabled harm.

The use of deepfake AI technology to impersonate executives and trick employees into transferring funds constitutes direct involvement of an AI system in causing harm. The financial loss of R492-million is a clear materialized harm to property caused by the malicious use of AI-generated content. Therefore, this qualifies as an AI Incident.

The article explicitly states that artificial intelligence was used to create deepfake video and audio impersonations of company officials, which directly caused the employee to transfer company funds to fraudsters. This meets the definition of an AI Incident because the AI system's use directly led to harm (financial loss) through deception. The involvement of AI in the scam is clear and central to the harm, and the harm is realized, not just potential. Therefore, the event is classified as an AI Incident.

The article explicitly mentions the use of deepfake AI technology to impersonate the company's CFO and other colleagues in a video call, which directly caused the employee to transfer $25.6 million to fraudulent accounts. This constitutes an AI Incident because the AI system's use directly led to significant financial harm (harm to property) to the company. The involvement of AI is clear and central to the incident, and the harm has already occurred, fulfilling the criteria for an AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate real people in a video conference, which directly led to a significant financial loss ($25.6 million) for the company. This constitutes harm to property and financial assets, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused the harm, not just a potential or future risk.

The event explicitly involves the use of AI (deepfake technology) to create realistic fake audiovisual content that directly caused a financial scam resulting in a large monetary loss. The AI system's use was central to the harm, fulfilling the criteria for an AI Incident due to direct harm to property and individuals through deception and fraud.

The article explicitly mentions the use of advanced deepfake technology, an AI system capable of generating realistic fake video and audio, to impersonate executives and deceive the victim. This use of AI directly led to a large-scale financial fraud, which constitutes harm to property and individuals. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm through deception and financial loss.

The article explicitly mentions the use of AI systems (deepfake technology and LLMs) in the development and execution of fraudulent activities that have directly caused harm, including financial theft and reputational damage. The AI systems were used to generate synthetic audio and video that deceived victims into transferring large sums of money and falling for scams. This constitutes direct harm to persons and organizations, fulfilling the criteria for an AI Incident. The article also discusses ongoing and future risks but the presence of actual realized harm places this event clearly in the AI Incident category rather than AI Hazard or Complementary Information.

The event involves the use of AI systems (deepfake generation via machine learning and GANs) to create realistic fake videos of company executives. This AI-enabled deception directly caused a financial loss of over $25 million, which is a clear harm to property. The AI system's role was pivotal in enabling the scam, fulfilling the criteria for an AI Incident. The harm is realized, not just potential, and the AI system's use was malicious and instrumental in the incident.

The event involves the use of AI-generated deepfake videos and voices to impersonate company executives, which directly led to the theft of a large sum of money. The harm (financial loss) has already occurred, and the AI system's role was pivotal in enabling the scam. Therefore, this qualifies as an AI Incident due to realized harm caused by the malicious use of AI.

The article explicitly mentions the use of deepfake technology, an AI system capable of generating realistic fake videos and audio, to deceive victims into making fraudulent financial transactions and to spread false information about political figures. The financial scam involving $25.6 million transferred due to a deepfake CFO is a direct harm caused by AI misuse. Additionally, the widespread dissemination of deepfake content targeting politicians poses a threat to democracy and public trust, constituting harm to communities. These harms have already occurred, not just potential risks, so the event is classified as an AI Incident.

The event involves the use of AI-generated deepfake videos and voice synthesis to impersonate real individuals in a video conference, deceiving employees into transferring large sums of money. This is a clear case where the AI system's use directly caused harm (financial loss) to the company. The harm is realized and significant, and the AI system's role is pivotal in enabling the scam. Therefore, this qualifies as an AI Incident.

The event explicitly describes the use of AI deepfake technology to create fake video and audio of company executives, which directly caused the employee to transfer a large sum of money to scammers. The harm (financial loss) has already occurred and is directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident due to realized harm caused by the AI system's outputs.

The event involves the use of deepfake AI technology to impersonate individuals in a video call, which directly caused a financial loss of over 25 million dollars. This is a direct harm caused by the use of an AI system (deepfake generation) in a malicious context, fulfilling the criteria for an AI Incident due to harm to property and economic interests. The AI system's role is pivotal in enabling the deception and resulting scam.

The event involves the use of AI systems (deepfake technology) to create realistic fake video representations of company executives in real time. This AI system was used maliciously to deceive the finance worker, resulting in a significant financial loss. The harm (financial loss) has directly occurred due to the AI system's use in the scam, meeting the criteria for an AI Incident.

The scammers used generative AI (deepfake technology) to create realistic impersonations of senior executives, which directly caused the company to transfer $26 million under false pretenses. This is a clear case where the AI system's use led to realized harm (financial loss), fitting the definition of an AI Incident due to harm to property and economic interests. The involvement of AI is explicit and central to the incident.

The use of AI-generated deepfake videos and voices to impersonate executives directly led to the loss of company funds, which constitutes harm to property. The AI system's malicious use was pivotal in enabling the scam, fulfilling the criteria for an AI Incident. The harm is realized and significant, not merely potential, so this is not a hazard or complementary information.

The scammers used AI-based deepfake technology to generate convincing fake video and audio of the CFO and other participants in a video call, deceiving employees into transferring $25.6 million. This is a clear case where the AI system's use directly led to harm (financial loss), meeting the definition of an AI Incident. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the scam.

The fraudsters used AI-generated deepfake videos and audio to deceive an employee into transferring a large sum of money, which constitutes direct harm caused by the AI system's use. The event involves the use of AI technology (deepfake generation) leading directly to financial harm, fitting the definition of an AI Incident.

The event explicitly involves the use of an AI system—deepfake technology—to create realistic fake video and audio representations of company employees. The AI system's use directly led to a significant financial loss, which constitutes harm to property. Therefore, this qualifies as an AI Incident because the development and use of the AI system directly caused harm through fraudulent deception and financial loss.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a Zoom call, which directly led to a large financial loss. This constitutes harm to property and financial harm to the victim, fitting the definition of an AI Incident because the AI system's use directly caused the harm.

The article explicitly mentions the use of deepfake technology, an AI system capable of generating realistic synthetic video and audio, to impersonate the CFO and other senior figures. This AI-enabled impersonation directly led to the employee executing fraudulent transactions, resulting in substantial financial loss. Therefore, the event involves the use and misuse of an AI system causing direct harm (financial loss) to a company, fitting the definition of an AI Incident.

The event involves the use of an AI system (deepfake technology) to create realistic fake video avatars of company personnel, which was then used to manipulate an employee into transferring large sums of money. This misuse of AI directly led to financial harm (loss of property) to the company, fitting the definition of an AI Incident. The harm is realized and significant, and the AI system's role is pivotal in enabling the scam.

The article explicitly mentions the use of deepfake AI technology to create hyper-realistic fake video calls that deceived a finance worker into transferring a large sum of money to fraudsters. This is a direct harm caused by the malicious use of an AI system, resulting in financial loss and cybersecurity breach. The involvement of AI is clear and central to the incident, and the harm is realized, not just potential. Therefore, this qualifies as an AI Incident under the framework.

The scam involved the use of deepfake AI technology to create realistic fake videos and voice impersonations, which directly caused the financial loss of $25.6 million. This meets the definition of an AI Incident as the AI system's misuse led to harm to property. The event is not merely a potential risk or a general update but a realized harm caused by AI misuse. Therefore, it is classified as an AI Incident.

The event involves the use of AI (real-time deepfake technology) to impersonate individuals in a video call, which directly led to a large-scale financial fraud. This constitutes harm to property and individuals, fulfilling the criteria for an AI Incident. The article's detailed description of the fraud and its consequences confirms that harm has occurred, not just a potential risk. Therefore, the classification is AI Incident.

The event explicitly involves the use of AI-generated deepfake technology to create realistic fake video and audio representations of company employees, which directly caused the victim to transfer a large sum of money to scammers. This meets the definition of an AI Incident because the AI system's use directly led to significant harm (financial loss) through deception. The involvement of AI in the scam is central and pivotal to the harm, and the harm has already occurred. Therefore, this is classified as an AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate a senior executive in a video call, which directly led to a large financial loss. This fits the definition of an AI Incident because the AI system's use directly caused harm (financial theft) to a person or group (the company). The harm is realized, not just potential, and the AI system's role is pivotal in enabling the scam. Therefore, the classification is AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate senior officers and instruct an employee to transfer funds fraudulently, which directly led to financial harm (loss of HK$200 million). This fits the definition of an AI Incident because the AI system's use directly caused harm to property. The discussion of safeguards and strategies is secondary to the main event, which is the scam itself. Therefore, the classification is AI Incident.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video call, which directly caused a financial loss of $25.6 million due to fraudulent transactions. This meets the definition of an AI Incident because the AI system's use directly led to harm to property and the company community. The harm is realized and significant, and the AI system's role is pivotal in enabling the deception. Therefore, the classification is AI Incident.

The event involves the use of deepfake AI technology to impersonate company executives and employees in a video call, which directly caused a financial loss of Rs 207 crore due to fraudulent transactions. The AI system's malicious use led to realized harm (financial loss), fulfilling the criteria for an AI Incident. The involvement of AI is explicit and central to the harm, and the harm is materialized, not just potential. Hence, the classification as AI Incident is appropriate.

The event explicitly involves the use of AI systems to create deepfake video calls that impersonate real individuals, leading directly to a large-scale financial scam and loss. The harm is realized and significant, involving deception through AI-generated content that caused the victim to transfer a large sum of money to criminals. This fits the definition of an AI Incident as the AI system's use directly led to harm to property and economic loss. Therefore, the classification is AI Incident.

The event involves an AI system (deepfake generative AI) used maliciously to impersonate individuals in a video call, leading directly to financial harm (a scam resulting in a large monetary loss). This fits the definition of an AI Incident because the AI system's use directly caused harm to a person or group (the company and its employee). The article also discusses the nature of the AI system's involvement and the risks of such scams, but the primary focus is on a concrete incident of harm caused by AI misuse, not just potential or future harm or general information. Therefore, the classification is AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate executives via audio, which directly led to a large financial loss. This constitutes harm to property and economic interests, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused the harm, not just a potential or future risk.

The event involves the use of an AI system (deepfake technology) in the scam, which directly led to significant financial harm (loss of 26 million dollars) to a company. The harm is realized and directly linked to the AI system's use. Therefore, this qualifies as an AI Incident under the definition of harm to property and economic harm caused by AI misuse.

The use of deepfake technology, an AI system capable of generating realistic fake audio and video, was central to the scam. The AI-generated deepfake videos and audio were used to impersonate senior executives, leading to the direct loss of approximately 25 million euros. This constitutes an AI Incident because the AI system's use directly caused significant harm to property through fraudulent financial transfers.

The event involves the use of AI-generated fake video conference participants, which is an AI system generating realistic content to deceive a person. The AI system's use directly led to financial harm (loss of 26 million dollars) to the company, which qualifies as harm to property. Therefore, this is an AI Incident because the AI system's use directly caused significant harm through fraud.

The event involves the use of an AI system (deepfake voice cloning) in a malicious way that directly led to financial harm (loss of 26 million dollars) to a company. The AI system's use was central to the scam, causing harm to property (financial loss). Therefore, this qualifies as an AI Incident due to the direct harm caused by the AI system's misuse.

The use of deepfake technology, an AI system capable of generating realistic synthetic video and audio, was central to the scam. The AI-generated content directly led to the financial loss of approximately 26 million USD, constituting harm to property. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm through fraudulent activity.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which was used to trick an employee into transferring large sums of money. This directly led to financial harm (loss of property) to the company, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused harm, not just a potential risk or complementary information.

The event involves the use of an AI system (deepfake technology) in the malicious use phase, where AI-generated videos and audio were used to impersonate colleagues and a director, leading the victim to transfer a large sum of money to scammers. This directly caused harm (financial loss) to the company, fitting the definition of an AI Incident as the AI system's use directly led to significant harm. Therefore, this is classified as an AI Incident.

The use of AI-generated deepfake videos and audio to impersonate company executives directly caused a large financial theft. The AI system's outputs were pivotal in deceiving the employee and enabling the fraudulent transfers. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, a form of harm to property. The event involves the use of AI systems (deepfake technology) in a malicious way causing realized harm, not just a potential risk or complementary information.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which directly led to the employee transferring a large sum of money to fraudsters. The harm (financial loss) has already occurred and is directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm.

The event involves the use of an AI system (deepfake technology) to impersonate senior executives and trick an employee into transferring a large sum of money, resulting in direct financial harm to the company. This fits the definition of an AI Incident because the AI system's use directly led to significant harm (financial loss) to a group (the company). The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The incident involves the use of AI-generated deepfake videos and audio to impersonate company executives, which directly caused a financial loss of 26 million USD. The AI system's role is pivotal in enabling the deception and resulting harm. Therefore, this qualifies as an AI Incident under the definition of harm to property caused by the use of an AI system.

The event explicitly involves the use of deepfake technology, which is an AI system generating synthetic audio and video to impersonate individuals. The scam directly caused a financial loss of 26 million USD to the company, constituting harm to property. The AI system's role was pivotal in enabling the fraud by convincingly mimicking executives' voices and appearances, leading the victim to transfer funds under false pretenses. This meets the criteria for an AI Incident as the AI system's use directly led to significant harm.

The use of deepfake technology, which is an AI system, was instrumental in the scam that caused a direct financial loss of 26 million dollars to the company. This constitutes harm to property and financial assets, fitting the definition of an AI Incident. The AI system's use was central to the fraudulent activity and the resulting harm.

The event involves the use of AI-generated deepfake technology to impersonate individuals in a video conference, which directly led to a financial loss of 24 million euros due to fraudulent transactions. The AI system's malicious use caused direct harm to property and financial assets, fitting the definition of an AI Incident. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the scam.

The use of deepfake technology, which involves AI-generated synthetic audio and video, was central to the scam. The AI system was used maliciously to impersonate executives and deceive an employee into transferring funds, directly causing financial loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, which is harm to property. Therefore, this event qualifies as an AI Incident.

The event involves the use of AI systems (deepfake technology) to generate realistic fake video and audio of company executives, which directly led to a financial scam causing significant monetary loss. This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (the employee) and property (financial assets). The involvement of AI in the scam is explicit and central to the harm. The article also discusses broader societal risks of deepfakes, but the primary event is a realized harm due to AI misuse, qualifying it as an AI Incident rather than a hazard or complementary information.

The event involves the use of AI (deepfake technology) to create fake video and audio of company executives, which directly led to a significant financial loss through fraudulent transfers. The AI system's use was central to the harm, as it enabled the deception and subsequent theft. The harm is realized and significant, meeting the criteria for an AI Incident rather than a hazard or complementary information. Therefore, the classification is AI Incident.

The article explicitly states that deepfake technology, which uses AI to create deceptive audio and video, was used by scammers to impersonate a senior executive and trick an employee into transferring large sums of money. This caused direct financial harm to the company, fulfilling the criteria for an AI Incident under the harm to property category. The AI system's use was instrumental in the scam's success, and the harm is realized, not just potential. Hence, the classification as AI Incident is appropriate.

The event involves the use of AI systems (deepfake technology) to generate realistic fake video and audio of company executives, which directly led to a financial loss of approximately 25 million USD by deceiving an employee. This constitutes direct harm to property and financial assets, fulfilling the criteria for an AI Incident. The involvement of AI in generating the deepfake content is explicit and central to the scam. The article also references other AI-related harms and potential future risks, but these serve as context rather than the main event. Therefore, the classification is AI Incident.

The event explicitly involves the use of AI-generated deepfake videos to impersonate company executives in a video conference, which directly led to a large-scale financial theft. This constitutes harm to property and communities, fulfilling the criteria for an AI Incident. The AI system's role is central and causative in the harm realized, not merely potential or indirect.

The article explicitly mentions the use of deepfake technology, an AI system, to manipulate video images of company executives in a videoconference, which directly caused a financial fraud resulting in a loss of over US$25 million. This constitutes an AI Incident because the AI system's use directly led to harm (financial loss) to the company. The harm is materialized and significant, fitting the definition of an AI Incident under harm to property.

The event explicitly involves the use of deepfake technology, which is an AI system capable of generating realistic fake video and audio content. The AI system was used maliciously to impersonate company executives in a video call, directly causing the financial worker to transfer US$25 million to scammers. This is a clear case of harm to property and financial loss caused by the AI system's outputs. The harm is realized, not just potential, so it qualifies as an AI Incident rather than a hazard. The AI system's role is pivotal in enabling the deception and resulting financial harm.

The incident involves the use of an AI system (deepfake technology) in a malicious manner to impersonate company executives during a video call, directly causing a significant financial loss to the company. The harm is realized and directly linked to the AI system's use, fulfilling the criteria for an AI Incident under the OECD framework.

The event involves the use of AI-generated deepfake technology to impersonate real individuals in a video call, which directly caused a significant financial loss to the victim. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a person. The scam's scale and the involvement of AI-generated content for deception meet the criteria for an AI Incident rather than a hazard or complementary information.

The event involves the use of an AI system (deepfake technology) in the malicious use phase, where AI-generated fake videos and voices were used to deceive an employee into transferring large sums of money. This directly caused financial harm to the company, which qualifies as harm to property. Therefore, this is an AI Incident because the AI system's use directly led to significant harm (financial loss) through fraud.

The event involves the use of AI-generated deepfake technology to impersonate individuals in a video call, which directly caused significant financial harm to the company. The AI system's use in creating realistic fake video content was pivotal in deceiving the employee, leading to the loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, which is harm to property and economic interests.

The incident involves the use of AI systems (deepfake technology) to create realistic fake videos and voices of company executives, which directly caused a significant financial loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a person (the company) and potentially to the worker involved. The harm is materialized and significant, and the AI system's role is pivotal in enabling the fraud.

The incident involves the use of an AI system (deepfake generative AI) to impersonate real people in a video call, which directly caused the employee to transfer a large amount of money to fraudsters. This constitutes harm to property and financial loss, fulfilling the criteria for an AI Incident. The AI system's use was central to the deception and resulting harm, not merely a potential or future risk. Therefore, this event is classified as an AI Incident.

The event involves the use of AI systems (deepfake technology) to create realistic fake video and audio representations of company personnel, which directly caused a significant financial loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a person or group (the company). The harm is realized and clearly articulated, and the AI system's role is pivotal in enabling the fraud.

The incident involves the use of an AI system (deepfake video generation) to impersonate executives in a videoconference, which directly led to a large-scale financial fraud. The harm (loss of company funds) has already occurred, and the AI system's role was pivotal in enabling the deception. Therefore, this qualifies as an AI Incident rather than a hazard or complementary information.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly caused the employee to transfer nearly 24 million euros to scammers. This constitutes a direct harm to property and financial assets, fulfilling the criteria for an AI Incident. The AI system's role is pivotal as it enabled the convincing deception that led to the financial loss. Therefore, this is classified as an AI Incident.

The event explicitly involves the use of AI-generated deepfake videos to impersonate company executives in a videoconference, which directly caused a significant financial loss to the victim. The harm is realized and directly linked to the AI system's use (deepfake technology). Therefore, this qualifies as an AI Incident due to the direct harm caused by the AI system's malicious use.

The event involves the use of an AI system (deepfake technology) to impersonate a company executive in a video call, leading directly to a financial loss of over 42 million NZD. The harm is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident due to direct harm caused by the AI system's use.

The event involves the use of AI systems (deepfake generation via deep learning) to impersonate individuals in video calls, which directly led to financial harm through fraud. The AI system's malicious use caused realized harm (loss of money) and facilitated identity theft and fraudulent loan applications, which are violations of rights and property harm. The involvement of AI is explicit and central to the incident, fulfilling the criteria for an AI Incident rather than a hazard or complementary information.

The event involves the use of AI deepfake technology to impersonate company executives in a video call, which directly caused a significant financial loss. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a person or group. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud. Therefore, this is classified as an AI Incident.

The use of deepfake technology, an AI system capable of generating realistic fake videos, directly led to a significant financial loss through deception. The event involves the use of AI in a malicious way causing realized harm (financial loss), fitting the definition of an AI Incident. The AI system's use was central to the scam's success, fulfilling the criteria for direct harm caused by AI.

The incident involves the use of an AI system (deepfake technology) to create realistic fake videos of company executives, which directly led to a large financial loss due to deception. The harm is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as it caused significant harm (financial loss) through the use of AI-generated content.

The event explicitly involves the use of deepfake AI technology to impersonate trusted individuals in a video call, which directly led to a large financial loss (harm to property). The AI system's role is pivotal as the fraud would not have been possible without the realistic AI-generated video and audio. The harm is realized and significant, meeting the criteria for an AI Incident. There is no indication that this is merely a potential risk or a complementary update; the harm has already occurred.

The event involves the use of an AI system (deepfake technology) to create realistic fake videos and audio that impersonated company executives. This AI use directly led to significant financial harm (loss of 25 million dollars) to the company, fulfilling the criteria for an AI Incident. The harm is realized and directly linked to the AI system's use in the scam. Therefore, this is classified as an AI Incident.

The incident involves the use of AI-generated deepfake videos and audio to impersonate executives, which directly led to a significant financial loss for the company. The AI system's role is pivotal in enabling the deception and subsequent harm. Therefore, this qualifies as an AI Incident due to realized harm (financial fraud) caused by the malicious use of an AI system.

The event involves the use of AI systems (deepfake technology) to create realistic digital impersonations of individuals, which directly led to a significant financial loss (harm to property) for the victim company. The AI system's role was pivotal in enabling the fraud, fulfilling the criteria for an AI Incident as the harm has already occurred and is directly linked to the AI system's use.

The incident involves the use of AI systems (deepfake technology) to create realistic fake videos and voices of employees, which directly led to a significant financial loss (harm to property) for the company. The AI system's use was malicious and directly caused harm, fitting the definition of an AI Incident. The harm is realized, not just potential, and the AI system's role is pivotal in the fraud.

The event involves the use of AI systems (deepfake technology) to create realistic video and audio clones of real people, which were used maliciously to deceive a company employee into transferring funds. This directly caused financial harm, a form of harm to property. The involvement of AI in the fraud and the resulting financial loss meets the criteria for an AI Incident, as the AI system's use directly led to harm.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio content that directly led to a significant financial loss (harm to property) for the company. The AI system's use was malicious and instrumental in the fraud, fulfilling the criteria for an AI Incident as the harm has already occurred and the AI system's role is pivotal.

The event involves the use of an AI system (deepfake technology) to create a realistic fake video that tricked employees into transferring a large sum of money, constituting direct harm to property. The AI system's use directly led to the financial loss, fulfilling the criteria for an AI Incident. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves the use of AI-generated deepfake technology to impersonate real individuals in a video conference, which directly caused the employee to transfer a large sum of money to fraudsters. This is a direct harm to property caused by the AI system's use. The AI system's role is pivotal in enabling the fraud, fulfilling the criteria for an AI Incident. The harm has already occurred, not just a plausible future risk, so it is not an AI Hazard. It is not merely complementary information or unrelated news, as the AI system's use directly caused significant harm.

The event involves the use of AI systems (deepfake video and voice synthesis) in the development and execution of a fraud scheme. The AI-generated content directly led to a financial loss of approximately 24 million euros, which constitutes harm to property. The AI system's role is pivotal in deceiving the employee and enabling the fraudulent transfers. Therefore, this qualifies as an AI Incident due to the realized harm caused by the AI system's malicious use.

The event explicitly involves AI systems in the form of deepfake technology used for fraudulent and malicious purposes. The harms described include financial loss (harm to property), violations of privacy and human rights (breach of fundamental rights), and harm to individuals and communities through sexual extortion and harassment. The AI system's use directly caused these harms, qualifying this as an AI Incident under the OECD framework. The description of realized harms and ongoing criminal activity confirms this classification rather than a potential hazard or complementary information.

The event involves the use of an AI system (deepfake technology) to create a fraudulent video that directly caused financial harm to the company. The AI system's use in the scam was pivotal in deceiving the employee and enabling the transfer of funds. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, which is harm to property and economic interests. Therefore, this is classified as an AI Incident.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video call, which directly caused a significant financial loss through fraud. The AI system's malicious use led to harm to property and individuals, meeting the definition of an AI Incident. The article also mentions other uses of deepfakes for fraud and misinformation, reinforcing the AI system's role in causing harm.

The event involves the use of AI systems (deepfake technology) to create realistic video representations of executives, which were used maliciously to trick an employee into making a fraudulent payment. This directly caused financial harm to the company, fulfilling the criteria for an AI Incident under harm to property and financial interests. The involvement of AI in the creation of deepfakes is explicit, and the harm has materialized, not just potential. Therefore, this qualifies as an AI Incident.

The event involves an AI system (deepfake video generation) whose use directly led to a significant financial harm (loss of 25 million dollars) to a company. The AI system was used fraudulently to manipulate employees into executing unauthorized transactions. This fits the definition of an AI Incident because the AI system's use directly caused harm to property and financial assets, which is a form of harm to property and communities. Therefore, the event is classified as an AI Incident.

The article explicitly mentions the use of deepfake technology (an AI system) to create a fake video meeting that tricked an employee into transferring millions of dollars. This is a direct harm caused by the AI system's use, fulfilling the criteria for an AI Incident under harm to persons and property. The involvement of AI is clear and the harm is realized, not just potential. Therefore, the event is classified as an AI Incident.

The event involves the use of AI systems (deepfake technology) to create realistic clones of colleagues in a video meeting, which directly led to a large financial loss due to the victim being tricked into transferring money. The harm is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly caused significant harm to property through fraud.

The event involves the use of AI systems (deepfake technology) to create realistic fake video and audio of colleagues, which directly led to a significant financial loss (harm to property). The AI system's use was central to the incident, as the victim was misled by the AI-generated content into transferring large sums of money. This meets the definition of an AI Incident because the AI system's use directly caused harm (financial loss) to a person and an organization.

The event involves the use of AI systems (deepfake technology) to create realistic fake video and audio of company personnel, which directly led to a significant financial harm (the fraudulent transfer of company funds). This meets the definition of an AI Incident because the AI system's use directly caused harm to property (financial loss) and communities (the company and its stakeholders). The involvement of AI in the development and use of deepfake technology for malicious purposes is explicit and central to the incident.

The event explicitly involves the use of an AI system (deepfake technology) to create a realistic video impersonation of a company executive, which directly caused a large financial loss through fraudulent instructions. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, a form of harm to property and economic interests. The involvement of AI is central and pivotal to the incident, and the harm is realized, not just potential.

The event involves the use of AI systems (deepfake technology) to create realistic fake video and audio representations of employees, which directly led to financial harm (loss of over 23 million euros) to the company. The AI system's use in the scam is central to the incident, fulfilling the criteria of an AI Incident as the AI's use directly caused harm through deception and financial loss.

The event involves the use of an AI system (deepfake technology) to impersonate company employees in a video conference, which directly led to the employee making fraudulent bank transfers resulting in a loss of 25 million USD. This constitutes direct harm to property caused by the use of an AI system, fitting the definition of an AI Incident.

The event involves the use of an AI system to generate deepfake content that impersonated a company executive, directly leading to significant financial harm due to fraudulent wire transfers. This fits the definition of an AI Incident because the AI system's use directly caused harm to property (financial loss) and communities (the company and its stakeholders).

The event involves the use of AI systems to generate deepfake video and audio content that directly led to a large financial loss, which constitutes harm to property. The AI system's use was central to the scam's success, as it created convincing fake participants in the video conference, misleading the employee. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm.

The event explicitly involves the use of a deepfake AI system to impersonate company executives and colleagues in a video conference, which directly led to a fraudulent transfer of a large sum of money. This meets the definition of an AI Incident because the AI system's use directly caused harm (financial loss) to the multinational company. The harm is material and significant, and the AI system's role is pivotal in enabling the fraud.

The event involves the use of AI-generated deepfake technology (video and voice synthesis) to impersonate company personnel in a fake video conference. This AI system's use directly caused a large financial loss, which constitutes harm to property. The harm is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use led directly to significant harm.

The event involves the use of AI systems (deepfake technology and voice imitation AI) to impersonate colleagues and manipulate an employee into making fraudulent transfers. This directly led to significant financial harm to the company, which qualifies as harm to property. Therefore, this is an AI Incident because the AI system's use directly caused a realized harm (financial loss) through malicious use of AI-generated content.

The incident involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which directly caused the employee to transfer large sums of money fraudulently. This is a clear case of harm to property and economic interests caused by the malicious use of AI-generated content. The harm has already occurred, so this is an AI Incident rather than a hazard or complementary information.

The event involves the use of AI systems (deepfake technology) to impersonate real people in a video conference, which directly caused the employee to make fraudulent transactions resulting in a $25 million loss. This constitutes direct harm caused by the use of AI, fulfilling the criteria for an AI Incident due to the realized financial harm and deception enabled by AI-generated content.

The event involves the use of AI systems (deepfake-generated video conference participants) to perpetrate a scam that directly caused financial harm to a person (the employee) and the company (loss of 25 million dollars). This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss). The description clearly states the AI's role in the deception and resulting harm, not just a potential or future risk.

The event involves the use of AI systems (deepfake technology) to generate realistic video and audio of individuals, which was used maliciously to deceive an employee into making large unauthorized financial transfers. This directly caused harm to the company's property (financial loss), fitting the definition of an AI Incident. The AI system's role was pivotal in enabling the scam, and the harm has already occurred.

The event involves the use of AI systems (deepfake video and voice synthesis) to impersonate executives in a video conference, which directly led to a large financial loss for the company. This constitutes an AI Incident because the AI system's use was pivotal in causing harm (financial loss) through deception and fraud. The harm is realized and significant, meeting the criteria for an AI Incident under the framework.

The event involves the use of an AI system to generate realistic deepfake video participants in a virtual meeting, which directly caused a financial loss of 25 million dollars due to the employee being tricked into transferring funds. This constitutes an AI Incident because the AI system's malicious use directly led to significant harm (financial loss) to the company, fitting the definition of harm to property and economic interests. Therefore, the classification is AI Incident.

The event involves the use of AI systems (deepfake video and voice synthesis) to impersonate company executives in a video conference, which directly led to the employee executing fraudulent transactions causing substantial financial loss. This fits the definition of an AI Incident because the AI system's use directly caused harm to property (financial loss) and the event is not merely a potential risk but a realized harm. Therefore, the classification is AI Incident.

The incident involves the use of an AI system (deepfake technology) to create realistic impersonations of real individuals in a video conference. This AI-enabled deception directly caused financial harm (loss of HKD 200 million) to the company, fulfilling the criteria for an AI Incident as the AI system's use directly led to harm to property and financial assets. Therefore, this event qualifies as an AI Incident rather than a hazard or complementary information.

The event involves the use of AI deepfake technology (an AI system) to create fake video conferences impersonating senior executives. This AI-enabled deception directly led to a large financial loss, which constitutes harm to property. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm through fraudulent activity.

The event involves the use of AI deepfake technology (an AI system) to create a fake video and audio impersonation of a CFO, which directly caused the company to transfer large sums of money to fraudsters. This constitutes direct harm to property (financial loss) caused by the AI system's use. Therefore, it meets the criteria for an AI Incident as the AI system's use directly led to significant harm.

The AI system is explicitly mentioned and is used in operation to detect and block scam accounts, thereby directly preventing harm to users from fraudulent activities. Since the AI's use has led to a reduction in scam accounts and user-reported spam/scams, it is actively mitigating harm. This qualifies as an AI Incident because the AI system's use is directly linked to preventing harm to people (harm to individuals from scams). The event is not merely a product launch without harm, nor is it a future risk or complementary information; it involves the AI system's use to address an existing harm scenario.

The event involves the use of an AI system (deepfake technology) to impersonate company executives in a video meeting, which directly caused a financial loss of approximately 2 billion HKD. This constitutes harm to property and financial assets, fulfilling the criteria for an AI Incident. The AI system's use was malicious and directly led to the harm, not just a potential risk, so it is not merely a hazard or complementary information.

The article explicitly mentions the use of AI deepfake technology to create synthetic videos and audio impersonating company executives, which directly caused the financial loss of HKD 200 million. This meets the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to a group of people (the company and its employees). The harm is materialized and significant, and the AI system's role is pivotal in enabling the fraud. Therefore, this event is classified as an AI Incident.

The event explicitly involves the use of deepfake technology, a form of generative AI, to create realistic fake video and audio of a company executive. This AI system was used maliciously to deceive an employee into transferring large sums of money, resulting in direct financial harm. The harm is materialized and significant, meeting the criteria for an AI Incident as the AI system's use directly caused the harm. Therefore, this is classified as an AI Incident.

The event explicitly involves the use of an AI system—deepfake technology employing deep learning and generative adversarial networks—to create realistic fake videos and audio impersonating company executives. This AI-enabled impersonation directly caused the financial loss of HKD 200 million, a significant harm to property and economic interests. The fraud was successful because the AI-generated videos were convincing enough to deceive employees, demonstrating direct causation of harm by the AI system's use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The article explicitly describes the use of AI deepfake technology to create fake videos and audio impersonating company executives, which directly led to a large financial scam. The AI system's use was central to the fraud, enabling the victim to be deceived into transferring large sums of money. This constitutes direct harm to property and individuals, meeting the definition of an AI Incident. The involvement of AI is clear and central, and the harm has already occurred, so it is not merely a hazard or complementary information.

The event explicitly involves the use of AI deepfake technology to create realistic fake videos and audio impersonating company executives, which directly caused financial loss of HKD 200 million through fraudulent transfers. This meets the definition of an AI Incident as the AI system's use directly led to harm (financial loss) to a group of people (the company and its employees). The detailed description of the AI system's role and the realized harm confirms this classification.

The article explicitly mentions the use of Deepfake AI technology to create fake video calls impersonating company executives, which directly led to a large financial scam. The AI system's role in generating realistic fake faces and voices was pivotal in deceiving the employee into transferring large sums of money. This constitutes direct harm (financial loss) caused by the AI system's malicious use. Therefore, this event meets the definition of an AI Incident as the AI system's use directly led to significant harm (financial loss) to a person or group (the company and its employees).

The event involves the use of an AI system (deepfake technology) in a malicious manner to impersonate individuals and trick a financial employee into transferring a large sum of money. This directly led to harm (financial loss) to the company, fitting the definition of an AI Incident. The AI system's use was central to the deception and resulting harm, fulfilling the criteria for an AI Incident rather than a hazard or complementary information.

The article explicitly describes an AI system (deepfake technology) being used maliciously to impersonate a person's daughter via voice synthesis, resulting in financial harm to the victim. This meets the definition of an AI Incident as the AI system's use directly led to harm (financial loss). The article also discusses broader societal and technical responses, but the core event is a realized AI-enabled scam causing harm. Therefore, the classification is AI Incident.

The event involves the use of AI-generated deepfake videos to impersonate individuals in a video conference, which is a clear example of an AI system's use leading to harm. The harm here is financial theft, which qualifies as harm to property. Since the AI system's use directly caused the harm, this qualifies as an AI Incident.

The use of deepfake AI technology to impersonate executives in a video conference directly caused the victim to transfer a large amount of money to scammers, constituting a clear harm to property. The AI system's role was pivotal in enabling the deception and financial loss. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to harm (financial loss).

The use of deepfake AI technology to create a fake video conference directly led to financial theft, which constitutes harm to property. The AI system's use was central to the incident, enabling the criminals to convincingly impersonate a trusted individual and manipulate the employee into transferring funds. Therefore, this qualifies as an AI Incident due to the realized harm caused by the AI system's malicious use.

The incident involves the use of an AI system (deepfake technology) to create a fake video call impersonating a high-ranking executive. This AI-enabled deception directly caused the company to lose approximately R$ 127 million due to fraudulent bank transfers. The harm is materialized and directly linked to the AI system's use, fulfilling the criteria for an AI Incident under the framework, specifically harm to property and financial loss. Therefore, this event is classified as an AI Incident.

The incident involves the use of AI-generated deepfake video and audio to impersonate a trusted executive, which directly caused a financial loss of approximately R$ 127 million. The AI system's role was pivotal in enabling the fraud by convincingly simulating the CFO's image and voice, leading to the employee's compliance with fraudulent instructions. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to the company, a form of harm to property and economic interests.

The event involves the use of AI systems (deepfake technology combining video and voice synthesis) to impersonate individuals in a virtual meeting. The AI-generated content directly led to a large-scale financial fraud, causing harm to property (the company's funds). This fits the definition of an AI Incident because the AI system's use directly caused harm (financial loss) through malicious use. The incident is not merely a potential risk but a realized harm, so it is not an AI Hazard or Complementary Information. It is not unrelated because AI systems were central to the fraud.

The event involves the use of an AI system (deepfake technology) to create realistic fake audio and video content that directly caused significant financial harm (the theft of US$ 25 million). This fits the definition of an AI Incident because the AI system's use directly led to harm to property (financial loss) and communities (the company and its employees). The description confirms realized harm, not just potential risk, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves the use of an AI system (deepfake technology) to simulate a video conference with fake participants, which directly led to a significant financial harm. The use of AI-generated deepfakes to impersonate trusted individuals and deceive the employee constitutes an AI Incident as it caused direct harm through fraud. The involvement of AI in the development and use of the deepfake technology is central to the incident, fulfilling the criteria for an AI Incident under the OECD framework.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video conference, which directly led to a large-scale financial theft. The harm (loss of $25 million) is realized and directly linked to the AI system's malicious use. This fits the definition of an AI Incident because the AI system's use directly caused harm to property. The article also mentions other related harms involving AI deepfakes used to bypass facial recognition and identity theft, reinforcing the AI system's role in causing harm.

The use of deepfake AI technology to create convincing fake video and audio of company executives directly caused the employee to be deceived and transfer over US$25 million to fraudulent accounts. This constitutes an AI Incident because the AI system's use directly led to harm (financial loss) through malicious use of AI-generated content. The event involves the use of an AI system (deepfake generation) and results in realized harm, fulfilling the criteria for an AI Incident.

The event explicitly involves the use of AI-based deepfake technology to impersonate a company executive and deceive an employee into making fraudulent bank transfers, resulting in a large financial loss. The AI system's use directly led to harm (financial loss), fulfilling the criteria for an AI Incident. The involvement of AI is clear and central to the harm, and the harm is realized, not just potential. Hence, the classification as AI Incident is appropriate.

The event involves the use of AI systems (deepfake technology) to create fraudulent videos and voices that deceive people, leading to financial harm. The Hong Kong case is a clear example of an AI Incident because the AI-generated content directly caused harm (financial loss). The warning from Macau authorities is complementary information but the main event described is the realized fraud in Hong Kong. Therefore, the classification is AI Incident.

The incident involves the use of deepfake technology, an AI system capable of generating realistic fake video and audio of individuals, to impersonate executives in a video conference. This AI-enabled impersonation directly led to the victim transferring a large sum of money under false pretenses, constituting harm to property. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant financial harm.

The event explicitly involves the use of AI systems (deepfake technology) to impersonate individuals in a video conference, leading directly to a large-scale financial fraud. The AI system's outputs were pivotal in deceiving the employee and causing the harm. This meets the criteria for an AI Incident as the AI system's use directly led to significant harm (economic loss) to the company.

The event involves the use of deepfake AI technology to impersonate individuals and deceive a company employee into transferring a large sum of money, constituting direct harm caused by the AI system's malicious use. This fits the definition of an AI Incident because the AI system's use directly led to significant harm (financial loss). The article also mentions arrests and police investigation, confirming the realized harm and AI involvement.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake video and audio representations of company personnel. This AI system was used maliciously to deceive an employee into transferring a large sum of money, resulting in direct financial harm to the company. The harm is materialized and directly linked to the AI system's use, fitting the definition of an AI Incident due to harm to property and financial loss caused by the AI-enabled deception.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video call, which directly led to a large-scale financial theft. The AI system's use in generating realistic fake visuals was pivotal in deceiving the employee and causing the harm. This fits the definition of an AI Incident as the AI system's use directly led to harm (financial loss) to a person or group (the company).

The use of deepfake technology, an AI system capable of generating realistic fake video and audio, was central to the fraud. The AI-generated impersonations directly led to the employee transferring a large sum of money to fraudsters, constituting a clear harm to property. Therefore, this qualifies as an AI Incident because the AI system's use directly caused significant harm.

The event involves the use of an AI system (deepfake technology) in the malicious use phase, where the AI-generated videos directly caused the employee to be deceived and transfer a large sum of money, constituting harm to property. This meets the criteria for an AI Incident because the AI system's use directly led to significant financial harm. Therefore, the event is classified as an AI Incident.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio impersonations of company executives. This AI-enabled deception directly caused significant financial harm (loss of $25.6 million) to the victim. Therefore, it meets the criteria of an AI Incident, as the AI system's use directly led to harm to a person (financial harm) and potentially to the company.

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which directly led to a large-scale financial fraud causing harm to the company's property (financial loss). This fits the definition of an AI Incident because the AI system's use directly caused significant harm (financial loss) to a group (the company).

The event involves the use of an AI system (deepfake technology) in the malicious use phase, where AI-generated synthetic video content was used to impersonate trusted individuals and deceive a finance employee into transferring a large sum of money. This directly led to significant financial harm (harm to property) to the company. Therefore, this qualifies as an AI Incident because the AI system's use directly caused harm.

The event explicitly involves the use of an AI system (deepfake technology) to create synthetic video content impersonating company executives. This AI-generated content was used to deceive an employee into transferring a large sum of money, resulting in direct financial harm. The harm is realized and significant, meeting the criteria for an AI Incident. The involvement of AI in the fraud is central to the incident, not merely background or potential risk. Therefore, this is classified as an AI Incident.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake videos and audio to deceive a company employee into transferring a large sum of money. This directly caused financial harm (loss of 25 million dollars), which fits the definition of an AI Incident under harm to property and communities. The AI system's use was malicious and led directly to the harm. Hence, the classification as AI Incident is appropriate.

The event involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly led to a large financial loss for the victim. This constitutes harm to the person (financial harm) and communities (trust and security). The AI system's use was malicious and directly caused the harm, fitting the definition of an AI Incident.

The event involves the use of AI systems, specifically deepfake technology, to create realistic fake video and audio content that impersonated real people. This AI-enabled deception directly caused financial harm (loss of 25.6 million dollars) to the victim, fulfilling the criteria for an AI Incident. The AI system's use in the fraud is central to the harm, as the victim was misled by AI-generated content into authorizing the transfer. Therefore, this qualifies as an AI Incident due to direct harm caused by AI misuse.

The article explicitly mentions the use of AI deepfake technology to impersonate company executives in a video call, which directly led to the employee transferring approximately 25.6 million dollars under false pretenses. This is a direct harm to property caused by the malicious use of an AI system (deepfake generation). The involvement of AI in the fraud and the resulting financial loss meets the criteria for an AI Incident, as the AI system's use directly led to significant harm.

The event involves the use of an AI system (deepfake technology) to create realistic fake video calls impersonating real people, which directly led to significant financial harm (loss of 25 million USD) to a person. This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (financial injury) and harm to the community through fraudulent activities. The description clearly states the harm has occurred, not just a potential risk, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves the use of AI systems (deepfake technology) to create realistic fake video representations of company executives, which directly led to a significant financial loss (harm to property) for the victim. The AI system's role is pivotal in enabling the fraud, meeting the criteria for an AI Incident. The mention of multiple similar cases and arrests further supports the classification as an incident rather than a mere hazard or complementary information.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video conference, which directly caused a large financial loss to a person. The harm is realized and directly linked to the AI system's malicious use. Therefore, it meets the criteria for an AI Incident as the AI system's use led to a violation of property rights and significant financial harm.

The event explicitly involves the use of an AI system (deepfake technology) to impersonate individuals in a video call, which directly led to a large financial loss (harm to property). The AI system's malicious use caused the incident, fulfilling the criteria for an AI Incident. The harm is realized and significant, not just potential, so it is not an AI Hazard or Complementary Information. Therefore, this is classified as an AI Incident.

The event involves the use of AI deepfake technology to create realistic fake video representations of company executives, which directly led to a large financial loss through deception. The AI system's role is pivotal in enabling the fraud, causing harm to property (economic loss). Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The event involves the use of an AI system (deepfake technology) to create realistic fake video calls impersonating real people, which directly led to significant financial harm (loss of 25 million USD). This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (financial loss) and communities (through fraud). The involvement of AI is explicit and central to the harm described. Therefore, this is classified as an AI Incident.

The event involves the use of an AI system (deepfake technology) to create realistic fake video representations that directly led to significant financial harm (loss of 25 million dollars) to a person. This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (financial injury). The involvement of AI in the fraud and the resulting harm is explicit and central to the event. Therefore, this is classified as an AI Incident.

The use of AI-generated deepfake videos to impersonate a high-ranking official and trick employees into transferring large sums of money constitutes direct involvement of an AI system in causing harm. The harm here is financial loss to the company, which qualifies as harm to property. Since the AI system's use directly led to this harm, this event meets the criteria for an AI Incident.

The incident involves the use of AI-generated deepfake videos and audio to deceive an employee into making unauthorized money transfers, resulting in substantial financial loss. The AI system's role is pivotal as it enabled the impersonation and deception that caused the harm. Therefore, this qualifies as an AI Incident under the definition of harm to property caused directly by the use of an AI system.

The event involves the use of an AI system (deepfake technology) to produce fake video and audio recordings that impersonated a senior company executive. This AI-enabled impersonation directly caused financial harm through fraudulent money transfers, fulfilling the criteria for an AI Incident. The harm is realized and significant, involving deception and financial loss. Therefore, this is classified as an AI Incident.

The event involves the use of an AI system (deepfake generative AI) in the commission of a fraud that directly caused significant financial harm (the theft of US$26 million). The AI system's use was pivotal in deceiving the victim and enabling the scam. This fits the definition of an AI Incident because the AI system's use directly led to harm to property (financial loss) and harm to the company. Therefore, the event is classified as an AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate a company executive, which directly led to financial harm (loss of 26 million dollars) to the company. This constitutes harm to property and economic interests, fitting the definition of an AI Incident. The AI system's use was malicious and directly caused the harm through deception and fraud.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake videos and audio that impersonated a senior company official. This AI-enabled deception directly caused a large-scale financial fraud, resulting in substantial harm to the victim company. The harm is realized and directly linked to the AI system's use, meeting the criteria for an AI Incident under the OECD framework.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake videos and audio that impersonated a high-ranking company official. This AI-enabled deception directly caused a large financial loss through fraudulent money transfers, which is a harm to property and economic interests. The AI system's role is pivotal in enabling the fraud, meeting the criteria for an AI Incident. There is no indication that this is a potential or future harm only, so it is not an AI Hazard. It is not merely complementary information or unrelated news, as the AI system's use directly caused harm.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake videos and audio impersonating a company executive. This AI-enabled impersonation directly caused a significant financial loss (harm to property) through fraudulent transfers. The harm is realized and directly linked to the AI system's malicious use. Therefore, this qualifies as an AI Incident under the framework, as the AI system's use directly led to significant harm.

The use of deepfake AI technology to create realistic fake videos and audio that impersonate a high-ranking company official directly caused a large-scale financial fraud. The AI system's involvement was pivotal in deceiving the victim and enabling the fraudulent transfers, resulting in realized harm. Therefore, this qualifies as an AI Incident due to direct harm caused by the AI system's use in the fraud.

The event involves the use of an AI system (deepfake technology) to create realistic fake video representations of company executives. This AI system was used maliciously, leading directly to a financial loss of 25.9 million dollars. This constitutes an AI Incident because the AI system's use directly caused significant harm (financial loss) to the company.

The incident involves the use of an AI system (deepfake technology) in the malicious impersonation of company personnel, which directly led to significant financial harm (loss of millions of dollars). This fits the definition of an AI Incident because the AI system's use directly caused harm to a person (the employee) and the company (property/financial harm).

The event involves the use of AI technology (deepfake) to create realistic fake images and voices of real people, which were used to manipulate an employee into transferring a large sum of money. This constitutes direct harm to property and financial loss caused by the AI system's use. Therefore, it meets the criteria of an AI Incident due to realized harm resulting from the AI system's use in a malicious scam.

The event involves the use of AI systems to create deepfake videos and voice mimics that directly caused significant financial harm to a person (the employee) and the organization. The AI system's outputs were pivotal in deceiving the victim into transferring large sums of money to criminals. This constitutes an AI Incident because the AI system's use directly led to realized harm (financial loss) through fraudulent means.

The event involves the use of an AI system (deepfake technology) to create realistic digital impersonations that deceived the employee into transferring a large sum of money. This directly caused significant financial harm, fulfilling the criteria for an AI Incident under harm to property. The AI system's use was central to the incident, and the harm has already occurred. Therefore, this is classified as an AI Incident.

The event involves the use of AI-generated deepfake technology to impersonate real people in a video call, which directly led to a large financial fraud. The AI system's outputs (deepfake video and audio) were pivotal in deceiving the employee, causing the harm. This fits the definition of an AI Incident because the AI system's use directly led to harm (financial loss).

The event explicitly involves the use of AI-based deepfake technology to impersonate individuals in a video conference, which directly caused a significant financial fraud. This meets the definition of an AI Incident because the AI system's use directly led to harm (financial loss) to persons or groups (the company and its employees). The incident is not merely a potential risk but a realized harm, and the AI system's role is pivotal in enabling the fraud.

The event explicitly involves AI systems generating deepfake videos and audio to impersonate real individuals, which directly caused a financial fraud resulting in the loss of 26 million USD. This constitutes harm to property and financial assets, fulfilling the criteria for an AI Incident. The AI system's use was central to the deception and the resulting harm, not merely a potential or future risk. Therefore, this is classified as an AI Incident.

The event explicitly involves the use of AI-generated deepfake video technology to impersonate real individuals in a video call, which directly led to the employee transferring a large sum of money under false pretenses. This constitutes direct harm caused by the AI system's malicious use, fulfilling the criteria for an AI Incident due to the realized financial harm and deception enabled by AI.

The event explicitly involves the use of AI technology (deepfake) to impersonate individuals in a video call, which directly caused significant financial harm through deception. The AI system's use in generating realistic fake video representations was pivotal in the incident, leading to the employee transferring millions of dollars under false pretenses. This meets the criteria for an AI Incident as the AI system's use directly led to harm (financial loss) to a person and potentially the company.

The event involves the use of an AI system (deepfake technology) to impersonate high-level executives in video calls, which directly led to a large financial loss (harm to property). The AI system's use was malicious and instrumental in the fraud, fulfilling the criteria for an AI Incident as the harm has materialized and is directly linked to the AI system's use.

The event explicitly involves the use of deepfake AI technology to impersonate individuals in a video conference, which directly caused a large-scale financial fraud resulting in millions of dollars lost. The AI system's use was central to the incident, enabling the deception and subsequent harm. This fits the definition of an AI Incident as the AI system's use directly led to harm to property. The article describes realized harm, not just potential harm, so it is not an AI Hazard. It is not merely complementary information or unrelated news, as the AI system's role is pivotal in the harm caused.

The event involves the use of AI systems (deepfake technology) to create realistic fake video and audio of real people, which was used to deceive an employee into transferring a large sum of money. This directly led to significant financial harm, which qualifies as harm to property. The AI system's use was central to the incident, making this an AI Incident under the framework's definition of harm caused by AI system use.

The event involves the use of AI-generated deepfake videos to impersonate company executives and employees, which directly caused a large financial loss due to fraudulent payments. The AI system's role is pivotal in enabling the deception and subsequent harm. The harm is realized and significant, meeting the criteria for an AI Incident under the framework.

The event explicitly involves the use of AI systems (deepfake technology) to create realistic fake videos and voices that directly led to a large-scale financial scam causing significant harm (loss of 25 million dollars). The AI system's use was central to the incident, enabling the fraudsters to impersonate executives and deceive the victim. The harm is realized and substantial, meeting the criteria for an AI Incident. The article also references other similar harms caused by deepfake AI, reinforcing the classification.

The event involves the use of AI-generated deepfake videos to impersonate real people in a videoconference, which directly caused a large financial loss due to deception. The AI system's role was pivotal in enabling the scam by creating realistic fake characters that convinced the employee to make the transaction. This meets the definition of an AI Incident as the AI system's use directly led to harm (financial loss) to the company. The harm is realized, not just potential, and the AI system was used maliciously, fulfilling the criteria for an AI Incident.

The event involves the use of an AI system (deepfake technology) to impersonate company executives in a video call, leading directly to a financial loss of 25 million dollars. This constitutes harm to property and financial harm to the company, caused by the malicious use of AI-generated content. Therefore, it meets the criteria of an AI Incident as the AI system's use directly led to significant harm.

The event explicitly involves the use of deepfake technology, an AI system that generates realistic fake video and audio to impersonate individuals. The AI system was used maliciously to deceive an employee into transferring large sums of money, directly causing financial harm. This fits the definition of an AI Incident because the AI system's use directly led to harm (economic loss) to the company. The harm is realized, not just potential, and the AI system's role is pivotal in the incident.

The event explicitly involves the use of deepfake AI technology to create realistic fake video representations of company executives and employees, which directly caused a large financial loss due to deception. This meets the definition of an AI Incident because the AI system's use directly led to harm (financial loss) and violation of trust. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the fraud.

The event involves the use of AI systems to generate deepfake videos and images that impersonate real individuals, directly leading to financial fraud and identity theft. The employee was deceived by AI-generated content, resulting in a substantial monetary loss, which constitutes harm to property. The use of deepfakes to fool facial recognition systems for fraudulent financial activities further confirms the AI system's role in causing harm. Therefore, this qualifies as an AI Incident because the AI system's use directly led to realized harm.

The event explicitly involves the use of AI-generated deepfake videos to impersonate real people, which directly caused significant financial harm (loss of $34 million). The AI system's use in the scam is central to the incident, fulfilling the criteria for an AI Incident as the AI system's use directly led to harm to property (financial loss).

The event involves the use of an AI system (deepfake technology) to create realistic fake video and audio of company executives, which directly caused a significant financial loss. The AI system's role is pivotal in enabling the deception that led to the harm. Therefore, this qualifies as an AI Incident due to direct harm caused by the AI system's use.

The event involves the use of AI-generated deepfake technology to impersonate company executives, which directly led to a significant financial loss. The AI system was used maliciously to deceive the employee, causing harm to property (financial assets) and the company. This fits the definition of an AI Incident because the AI system's use directly led to harm through fraudulent transactions.

The event explicitly involves the use of AI deepfake technology to impersonate individuals and deceive an employee into transferring a large sum of money to fraudsters. This use of AI directly caused significant financial harm, which is a form of harm to property and communities. The AI system's role was pivotal in enabling the fraud, meeting the definition of an AI Incident. The harm is realized, not just potential, so it is not an AI Hazard. The event is not merely complementary information or unrelated news, but a clear case of AI-enabled harm.

The event involves the use of an AI system (deepfake technology) to create realistic fake videos and audio that deceived an employee into transferring a large sum of money to fraudsters. This directly caused significant financial harm to the company, fulfilling the criteria for an AI Incident. The AI system's development and use were pivotal in enabling the fraud. Therefore, this is classified as an AI Incident due to realized harm caused by the AI system's use.

The event explicitly involves the use of an AI system—deepfake technology—to create realistic fake videos and audio impersonating company executives. The AI system's use directly caused a financial loss of 25 million dollars due to fraud, which is a clear harm to property. The incident meets the criteria for an AI Incident because the AI system's use directly led to significant harm. There is no indication that this is merely a potential risk or a complementary update; the harm has already occurred.

The use of deepfake AI technology to impersonate executives and deceive an employee into transferring large sums of money directly caused financial harm to the company. The AI system's role was pivotal in enabling the fraud through realistic fake video and audio, leading to a realized harm (loss of money). Therefore, this event qualifies as an AI Incident due to direct harm caused by the AI system's use.

The event involves the use of a deepfake AI system (an AI system capable of generating realistic fake video and audio) to impersonate the company's CFO and colleagues during a video call. This AI-enabled deception directly led to the employee transferring 25.6 million USD to fraudsters, causing significant financial harm. The AI system's role is pivotal in enabling the scam, fulfilling the criteria for an AI Incident due to harm to property and communities. The harm is realized, not just potential, so it is not an AI Hazard. It is not merely complementary information or unrelated news, as the AI system's misuse directly caused harm.

The event explicitly involves the use of an AI system (deepfake technology) to create realistic fake videos impersonating company executives. This AI use directly led to a significant financial fraud causing harm to the victim and the company. The harm is realized, not just potential, and the AI system's role is pivotal in enabling the deception. Hence, it meets the criteria for an AI Incident under the OECD framework.

The event explicitly involves the use of AI systems (deepfake technology) to impersonate company executives, which directly led to a significant financial loss (harm to property). The AI system's use was malicious and caused realized harm, fitting the definition of an AI Incident. Therefore, this event should be classified as an AI Incident.