The AI system was used in the post-production of a video to alter its content without disclosure, which constitutes a misuse of AI leading to harm. The harm includes damage to the actress's reputation and trust, which falls under harm to individuals and communities. Since the AI system's use directly caused this harm, this qualifies as an AI Incident under the framework's definition of harm to persons and communities through misleading or manipulated content.[AI generated]
AIM: AI Incidents and Hazards Monitor
Automated media discourse monitor of AI incidents and hazards (Beta)
AI-related legislation is gaining traction, and effective policymaking needs evidence, foresight and international cooperation. The OECD AI Incidents and Hazards Monitor (AIM) documents AI incidents and hazards to help policymakers, AI practitioners, and all stakeholders worldwide gain valuable insights into the risks and harms of AI systems. Over time, AIM will help to show risk patterns and establish a collective understanding of AI incidents and hazards and their multifaceted nature, serving as an important tool for trustworthy AI. AI incidents seem to be getting more media attention lately, but they've actually gone down as a share of all AI news (see chart below!).
The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries.
Advanced Search Options
As percentage of total AI events
Show summary statistics of AI incidents & hazards
Influencer Condemns Unauthorized AI Alteration of Promotional Video
Taiwanese influencer Karen Hu (小禎) publicly accused a company of using AI to alter her promotional video without her consent, making the content appear inauthentic. The unauthorized AI intervention led to reputational harm and loss of trust, prompting her to remove related products and call for a boycott.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
AI system task:
Why's our monitor labelling this an incident or hazard?

Delhi High Court Orders Removal of AI Deepfakes Targeting Yuvraj Singh
The Delhi High Court issued an interim injunction protecting cricketer Yuvraj Singh's personality rights after AI-generated deepfakes and unauthorized content damaged his reputation and commercial value. The court ordered online platforms to remove such content and barred further unauthorized use of his identity, reinforcing legal protections against AI misuse.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
AI system task:
Why's our monitor labelling this an incident or hazard?
The article explicitly mentions AI-generated and deepfake content being used without authorization to create harmful and defamatory material about Yuvraj Singh, causing damage to his reputation and goodwill. This constitutes a violation of personality rights and privacy, which are protected human rights. The AI system's use in generating this content is central to the harm caused. The court's intervention confirms that harm has materialized, not just a potential risk. Hence, this is an AI Incident involving harm to human rights and communities due to AI misuse.[AI generated]

Algorithm-Driven Social Media Feeds Expose Indian Gen Z to Misinformation and Political Manipulation
AI-powered social media algorithms in India are exposing Gen Z, nearly 407 million people, to fake content, misinformation, and political manipulation. Studies highlight high screen time and vulnerability to propaganda, leading to distorted public debate, polarization, and mobilization of protests, causing significant societal harm.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves AI systems in the form of algorithm-driven social media platforms that curate content and influence user behavior. The article provides evidence of direct harm caused by these AI systems, including misinformation, polarization, and mobilization of protests leading to social and political disruption. These harms fall under harm to communities and violations of rights related to information access and political participation. Therefore, this qualifies as an AI Incident because the AI systems' use has directly led to significant societal harm.[AI generated]

AI-Generated Sexual Deepfakes of Minors Lead to Arrests in Japan
A man in Japan used generative AI to create and post hundreds of sexually explicit deepfake images of real women, including minors, on social media. The images were made at the request of a high school student, both of whom were arrested. The incident caused significant harm and violated privacy and legal protections.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event describes the creation and dissemination of AI-generated deepfake images that are sexually explicit and involve real individuals, constituting a violation of rights and causing reputational harm. The AI system's use here is central to the harm, fulfilling the criteria for an AI Incident under violations of human rights and harm to communities. The arrest and legal actions confirm that harm has materialized, not just a potential risk.[AI generated]
AI Misdiagnosis Leads to Patient Harm in China
Chinese patients increasingly rely on AI for medical advice, leading to cases of harm such as incorrect self-medication and delayed treatment. While AI offers valuable support, its limitations and errors have resulted in hospitalizations and worsened illnesses, highlighting risks in unsupervised AI healthcare use.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The article describes AI systems used in smart hospital wards and acknowledges potential risks related to data privacy and compliance, which could plausibly lead to harm if not addressed. However, no actual harm or incident resulting from AI system malfunction, misuse, or failure is reported. The main focus is on industry growth, challenges, and the need for unified standards and better integration. Therefore, this event fits the definition of an AI Hazard, as it highlights plausible future risks and structural issues that could lead to AI incidents if unmitigated.[AI generated]
Deepfake Video Falsely Claims Taiwanese Businessman Marries Celebrity
An AI-generated deepfake video falsely depicted Taiwanese businessman Hu Han-yang marrying a local celebrity, using manipulated images of him and his daughter. The video went viral, causing reputational harm and spreading misinformation. Hu publicly denounced the video as a malicious AI fabrication and urged the public not to be deceived.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves an AI system used to generate a synthetic video (deepfake) that falsely portrays a public figure's personal life, leading to misinformation and reputational harm. The AI-generated content directly caused harm by misleading the public and damaging the individual's reputation, which fits the definition of an AI Incident under violations of rights and harm to communities. The presence of AI is explicit, and the harm is realized, not just potential. Hence, the classification is AI Incident.[AI generated]

Baykar Tests Autonomous Swarm Kamikaze Drones
Turkish defense company Baykar successfully tested 10 AI-powered K2 Kamikaze drones in autonomous swarm and formation flights. These drones, capable of operating in GPS-denied and electronic warfare environments, demonstrate advanced autonomy and lethal capabilities, raising concerns about potential future harm from autonomous weapon systems. Tests occurred in Turkey.[AI generated]
AI principles:
Industries:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The K2 Kamikaze UAVs are described as performing fully autonomous swarm flights, indicating AI system use in their operation. Their military nature, carrying warheads and long range, implies potential for significant harm if deployed in conflict. Since the event reports a successful test flight without actual harm occurring, it does not meet the criteria for an AI Incident. However, the autonomous lethal capability and swarm operation present a credible risk of future harm, fitting the definition of an AI Hazard. The event is not merely general AI news or a beneficial use, but a plausible future risk scenario involving AI-enabled autonomous weapons.[AI generated]

AI-Generated Manipulated Video of Jacqueline Fernandez Sparks Police Complaint
Singer Sonu Thukral filed a police complaint after an AI-edited video falsely depicting a wardrobe malfunction involving actress Jacqueline Fernandez from the 'Jugni' music video went viral. The AI-generated clip caused reputational harm and controversy, prompting legal action and public concern over AI-driven misinformation in India.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
AI system task:
Why's our monitor labelling this an incident or hazard?
The AI system was used to create a manipulated video clip (deepfake) that falsely depicts a wardrobe malfunction, leading to reputational harm and social backlash. This constitutes a violation of rights and harm to individuals, fulfilling the criteria for an AI Incident. The police complaint and ongoing circulation of the AI-generated clip confirm that harm has occurred, not just a potential risk. Therefore, this event is classified as an AI Incident.[AI generated]
AI Surveillance at US-Mexico Border Raises Human Rights Concerns
Experts warn that the use of AI, biometric surveillance, and algorithmic risk profiling by US agencies to monitor migrants at the Mexico-US border is leading to violations of privacy and human rights. These systems collect sensitive biometric and social data, creating digital profiles that may be biased and discriminatory.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
AI system task:
Why's our monitor labelling this an incident or hazard?
The article explicitly mentions AI systems used in migration control that assign risk profiles and collect biometric and social data, which can lead to violations of human rights and privacy. These harms are occurring as the systems are actively used in border management. The AI systems' development and use have directly led to these harms, fulfilling the criteria for an AI Incident. The article does not merely warn about potential future harm but describes current practices causing harm, so it is not an AI Hazard. It is not Complementary Information because the main focus is on the harms caused by AI use, not on responses or updates. It is not Beneficial Use since the AI systems are the source of harm, not solely countermeasures to external harm. Therefore, the classification is AI Incident.[AI generated]

AI-Generated Deepfakes Target Indian PM to Incite Student Protests
Indian intelligence agencies have detected a surge in AI-generated deepfake videos, allegedly from Pakistani sources, targeting Prime Minister Narendra Modi. These videos falsely claim the PM will take strict action against students involved in recent protests, aiming to provoke unrest and reignite demonstrations, causing social disruption through AI-driven misinformation.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
Deepfake videos are generated using AI systems capable of creating realistic but fake audiovisual content. The article explicitly states that these videos are being circulated with the intent to incite student protests against the Prime Minister, which is a form of harm to communities through misinformation and social disruption. The involvement of AI in generating deepfakes is clear, and the harm is realized as the videos are already in circulation and influencing public sentiment. Hence, this is an AI Incident due to direct harm caused by AI-generated content.[AI generated]

AI Expansion Raises Global Water Scarcity Risks
UN Special Envoy Retno Marsudi warns that rapid AI and digital economy growth could increase global water demand by up to 129%, especially as 40% of data centers are in water-stressed regions. This expansion poses a significant future risk of exacerbating the global water crisis.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Why's our monitor labelling this an incident or hazard?
The article focuses on the potential future harm (water scarcity and its cascading effects) plausibly linked to the expansion of AI and data centers, but no actual harm or incident has yet occurred. The AI system's development and use are implicated as a factor that could plausibly lead to harm, fitting the definition of an AI Hazard. There is no indication of a realized incident or direct harm caused by AI systems at this time, nor is the article primarily about a response or update to a past incident, so it is not Complementary Information. It is also not unrelated or a beneficial use case.[AI generated]

AI Systems Cause Security and Operational Risks in Cybersecurity and Forensics
AI models like OpenAI's ChatGPT and Anthropic's Mythos have rapidly discovered software vulnerabilities, overwhelming companies like Apple and Microsoft. AI-generated false reports strain review processes, while generative AI enables undetectable tampering of forensic DNA data, threatening evidence integrity and justice. These incidents highlight significant risks to cybersecurity and critical infrastructure.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves AI systems generating security vulnerability reports that directly impact Apple's cybersecurity operations. The AI-generated false reports overwhelm the review process, indirectly causing harm by straining critical infrastructure management (cybersecurity) and increasing costs. The article reports realized harm (overburdened review chains, increased costs, and potential risk to software security), not just potential harm. Therefore, this qualifies as an AI Incident because the AI system's use has directly and indirectly led to harm in managing critical infrastructure security. The article also mentions Apple's mitigation measures but the primary focus is on the harm caused by AI-generated false reports, not on the response, so it is not Complementary Information.[AI generated]

US Publisher Cancels $2.4 Million Book Deal Over Suspected AI-Generated Content
US publisher Minotaur, part of Macmillan, canceled a $2.4 million contract for Jerry Valade's unpublished novel after AI detection tools raised suspicions of AI-generated content. The inability to verify the manuscript's authenticity led to legal concerns over copyright, highlighting challenges AI poses to the publishing industry.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The article describes a situation where the suspected use of AI in writing a novel led to the cancellation of a publishing contract due to concerns about copyright and authenticity. Although AI involvement is reasonably inferred, the harm is potential rather than realized, as the novel was unpublished and the accusations remain unproven. The event highlights a credible risk of AI-generated content causing disruption and legal complications in publishing, fitting the definition of an AI Hazard. There is no indication of actual injury, rights violation, or other direct harm caused by the AI system's use at this stage, so it is not an AI Incident. The article is not primarily about a response or update to a past incident, so it is not Complementary Information.[AI generated]

AI-Generated Pesticide Advice Destroys 150 Acres of Sesame in Anhui
A 67-year-old farmer in Anhui, China, followed an AI-generated pesticide and herbicide plan, which included a chemical harmful to sesame crops. As a result, his entire 150-acre sesame field was destroyed overnight. The AI failed to provide adequate warnings, leading to significant economic loss for the farmer.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves an AI system explicitly used to generate an agricultural chemical application plan. The AI's erroneous recommendation caused direct harm to the farmer's crops, which constitutes harm to property and economic loss. This fits the definition of an AI Incident because the AI system's use directly led to significant harm. The harm is materialized and not just potential, so it is not an AI Hazard. It is not Complementary Information because the article reports a new incident of harm, not a response or update. It is not Beneficial Use because the AI caused harm rather than preventing or mitigating external harm. Therefore, the correct classification is AI Incident.[AI generated]

China Accelerates AI Integration in Military Modernization
Chinese President Xi Jinping has directed the People's Liberation Army to intensify the integration of artificial intelligence, autonomous systems, and unmanned technologies into military operations. This push aims to build an 'intelligent military system' by 2027, raising credible risks of future harm from AI-enabled military applications.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The article explicitly mentions the use and development of AI systems for military applications, including autonomous and AI-enabled capabilities. Although no direct harm is reported at this time, the nature of the AI system's intended use in autonomous weapons and military operations presents a credible risk of future harm, such as injury, disruption, or rights violations. The event is about the development and intended use of AI systems with high potential for misuse and harm, fitting the definition of an AI Hazard. There is no indication of realized harm yet, so it is not an AI Incident. The article is not merely complementary information or unrelated news, as it focuses on the strategic military application of AI with plausible future harm.[AI generated]

China Uses US AI Models to Enhance Military Capabilities
Chinese military researchers have used outputs from advanced US AI models, such as those from OpenAI and Anthropic, to train local AI systems and boost China's defense capabilities. This practice, revealed by Reuters, raises concerns about intellectual property violations and potential security risks amid US export restrictions.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves the use and development of AI systems by Chinese military researchers, with direct implications for defense and security. The use of AI outputs from foreign models to train local military AI systems indicates AI system involvement in military applications that could enhance offensive or defensive capabilities. The concerns about unauthorized extraction and intellectual property violations point to breaches of legal and intellectual property rights. Although no specific harm event is described as having occurred, the development and use of AI for military purposes with potential for misuse or escalation constitutes a plausible risk of harm, including violations of rights and possible future conflict-related harms. Therefore, this event qualifies as an AI Hazard due to the credible risk of future harm stemming from the military use and development of AI systems based on foreign AI models, and the geopolitical tensions and legal concerns involved.[AI generated]

South Korea Develops Domestic AI Semiconductors for Autonomous Military Drones
Korea Aerospace Industries (KAI) has been selected to lead a government-backed project to develop domestic AI semiconductors and autonomous control systems for military drones and satellites. The five-year, 95.3 billion KRW initiative aims to reduce foreign dependence and enable autonomous flight, raising future risks associated with military AI deployment.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event involves the development and planned use of AI systems (AI semiconductors and autonomous control systems) in military drones, which are AI-enabled defense platforms. While no harm or incident has occurred yet, the nature of the technology (AI-powered autonomous drones in defense) implies a credible risk of future harm, such as misuse or accidents involving autonomous weapons. Therefore, this qualifies as an AI Hazard because it plausibly could lead to harms related to injury, disruption, or violations of rights in the future. It is not an AI Incident since no harm has materialized, nor is it Complementary Information or Beneficial Use, as the article does not describe a response to harm or a purely beneficial countermeasure.[AI generated]

Meta India Head Investigated Over AI-Generated Videos of PM Modi
Hyderabad Cyber Crime Police filed an FIR against Meta India head Arun Srinivas and several social media users for circulating AI-generated morphed videos of Prime Minister Narendra Modi on Facebook and Instagram. The investigation focuses on potential public deception and violations of Indian law due to AI-driven misinformation.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The event explicitly involves AI-generated deepfake videos, which are a product of AI systems. The circulation of these videos has led to public misinformation and legal scrutiny, indicating realized harm to communities and violation of laws. The involvement of Meta and the police investigation into the role of AI content moderation further confirms the AI system's role in the incident. Since harm has occurred and is under investigation, this is an AI Incident rather than a hazard or complementary information.[AI generated]

Google Withdraws AI Image Generator from Google Earth After Misinformation Concerns
Google integrated the Nano Banana 2 AI image generator into Google Earth, enabling users to create photorealistic but false images of real locations. Within a day, the tool was misused to generate misleading and harmful content, prompting Google to withdraw the feature and announce stricter safeguards against disinformation.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
Autonomy level:
AI system task:
Why's our monitor labelling this an incident or hazard?
The AI system (the image generation feature in Google Earth) was actively used to create false satellite images that were distributed widely, causing misinformation and undermining trust in a critical verification tool. This misuse directly led to harm to communities by spreading disinformation and potentially threatening public safety and security. The event involves the use and malfunction (inadequate safeguards) of the AI system leading to realized harm, fitting the definition of an AI Incident rather than a hazard or complementary information.[AI generated]

SpaceXAI Data Centers Cause Environmental Harm Through Unpermitted Gas Turbines
SpaceXAI, operating AI data centers near Memphis, Tennessee and Southaven, Mississippi, used 69 unpermitted gas turbines, causing pollution and health risks to local communities. Legal actions and regulatory scrutiny forced SpaceXAI to commit to removing the turbines by July 2027, linking AI infrastructure to environmental harm.[AI generated]
AI principles:
Industries:
Affected stakeholders:
Harm types:
Business function:
AI system task:
Why's our monitor labelling this an incident or hazard?
The turbines power xAI's data centers, which are AI infrastructure, so the AI system's operation depends on these turbines. The unpermitted use of turbines leads to environmental pollution, harming communities and the environment, which fits the definition of harm (d). The event involves the use and operation of AI system infrastructure causing direct harm through regulatory violations and pollution. The ongoing lawsuit and regulatory issues confirm the harm is realized, not just potential. Hence, this is an AI Incident rather than a hazard or complementary information.[AI generated]


























