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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.

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As percentage of total AI events
Note: An AI incident or hazard can be reported by one or more news articles covering the same event. Data processing powered by Microsoft Azure using data from Event Registry.
Show summary statistics of AI incidents & hazards
Results: About 18712 incidents & hazards
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AI-Enabled Smart Glasses Facilitate Cheating on SAT Exams

2026-10-31
United States

Research by German scientists demonstrated that AI models like Google's Gemini and OpenAI's GPT-4o, when paired with smart glasses, can solve over 80% of SAT questions, even under image distortion. Actual incidents of exam cheating using AI-enabled smart glasses have been detected, raising concerns about academic integrity and prompting stricter monitoring.[AI generated]

AI principles:
FairnessAccountability
Industries:
Education and training
Affected stakeholders:
ConsumersGeneral public
Harm types:
ReputationalPublic interest
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Recognition/object detectionContent generation
Why's our monitor labelling this an incident or hazard?

The event involves AI systems (Google Gemini and GPT-4o) used via smart glasses to cheat on exams, which is a misuse of AI leading to direct harm to the fairness and integrity of educational assessments, a harm to communities and institutions. The article reports actual incidents of cheating with AI glasses, confirming realized harm rather than just potential risk. The involvement of AI in enabling cheating and the resulting consequences (invalidated exams, restrictions on retaking) meet the criteria for an AI Incident. The governmental measures are responses to this incident, not the main event, so the classification is AI Incident rather than Complementary Information or AI Hazard.[AI generated]

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AI-Enabled Cyberattacks Lead to Arrest of 19-Year-Old in Bulgaria

2026-10-31
Bulgaria

A 19-year-old, Mariyan Parushev, was arrested in Bulgaria for allegedly using artificial intelligence to conduct large-scale cyberattacks against national media and state institutions. The attacks involved data theft and trading stolen information via Telegram, with payments in cryptocurrency. The court ordered his detention due to the severity of the offenses.[AI generated]

AI principles:
Privacy & data governanceSafety
Industries:
Government, security, and defenceMedia, social platforms, and marketing
Affected stakeholders:
GovernmentBusiness
Harm types:
Human or fundamental rightsPublic interestEconomic/Property
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Other
Why's our monitor labelling this an incident or hazard?

The article explicitly states that AI was used in the cyberattacks and data theft, which are criminal acts causing harm to public institutions and potentially to individuals' privacy rights. The involvement of AI in the commission of these attacks meets the criteria for an AI Incident, as the AI system's use directly led to violations of rights and harm to communities (public institutions and citizens). The legal proceedings and detention are responses to this realized harm, not merely potential or complementary information.[AI generated]

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AI-Generated Deepfake Image Causes Public Distress and Reputational Harm in Greece

2026-10-30
Greece

An AI-generated deepfake image falsely depicting singer Vasilis Papakonstantinou in a hospital was widely circulated online, causing emotional distress, reputational harm, and public confusion. Actress Eleni Rantou publicly condemned the misuse of AI for spreading false and offensive content, highlighting the incident's impact on individuals and the community.[AI generated]

AI principles:
AccountabilityTransparency & explainability
Industries:
Media, social platforms, and marketing
Affected stakeholders:
General publicOther
Harm types:
PsychologicalReputational
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

An AI system was explicitly used to generate a fake image of a person in a sensitive context (hospital recovery), which is offensive and harmful. The harm is realized as emotional distress and reputational damage, which falls under violations of rights and harm to communities. The AI's role is pivotal as it created the harmful content. Hence, this is an AI Incident rather than a hazard or complementary information.[AI generated]

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AI Agent Performs Autonomous Brain Injection on Live Mouse

2026-10-30
United States

Exin Therapeutics, a San Francisco biotech startup, used an AI agent to autonomously select a gene therapy and guide a robotic injector into a live mouse's brain. The AI controlled treatment choice and injection parameters, with human supervision and safety measures in place. No harm was reported, but the procedure posed inherent risks.[AI generated]

Industries:
Healthcare, drugs, and biotechnology
Business function:
Research and development
Autonomy level:
Medium-action autonomy (human-on-the-loop)
AI system task:
Reasoning with knowledge structures/planningGoal-driven organisation
Why's our monitor labelling this an incident or hazard?

The AI system was used to perform a brain injection on a live mouse, which is a direct physical intervention with potential for injury or harm to the animal. The AI controlled the robotic arm and injection needle, making decisions about treatment and injection parameters. This constitutes use of an AI system that directly led to a procedure with inherent risk of harm to a living being. Although no injury was reported, the event involves realized use of AI in a context where harm could occur, and the AI's role was central. Therefore, this qualifies as an AI Incident due to the direct involvement of AI in a procedure with potential for injury or harm to a person or group (here, the animal).[AI generated]

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Alberta Coach Sentenced for Creating AI-Generated Child Sexual Abuse Images

2026-10-30
Canada

Justin Tillery, a girls' football coach in Lethbridge, Alberta, pleaded guilty to using AI to create sexualized deepfake images of underage players. Arrested in 2025, he faces sentencing for making and possessing child pornography, with prosecutors seeking two years in prison and probation. The incident highlights AI's misuse for child exploitation.[AI generated]

AI principles:
Respect of human rightsSafety
Industries:
Other
Affected stakeholders:
Children
Harm types:
Human or fundamental rightsPsychological
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

The use of AI to create deepfake child pornography directly violates fundamental rights and legal protections, constituting a clear AI Incident under the framework. The AI system's use led to significant harm to the victims and breaches of applicable law, fulfilling the criteria for an AI Incident. The article describes a concrete case with confirmed harm and legal consequences, not just a potential risk or complementary information.[AI generated]

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Poland Acquires AI-Enabled MQ-9B SkyGuardian Military Drones

2026-10-30
Poland

Poland's Ministry of Defense announced the imminent delivery of MQ-9B SkyGuardian AI-enabled drones to its armed forces, marking a major investment in autonomous military technology. The drones will enhance reconnaissance and strike capabilities, but no harm or incident has been reported at this stage.[AI generated]

AI principles:
Respect of human rightsDemocracy & human autonomy
Industries:
Government, security, and defence
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Recognition/object detectionGoal-driven organisation
Why's our monitor labelling this an incident or hazard?

The MQ-9B SkyGuardian is an AI-enabled unmanned aerial vehicle with reconnaissance and strike capabilities, which qualifies as an AI system. The article announces its upcoming delivery to the Polish military, emphasizing its advanced features and strategic importance. There is no mention of any harm, malfunction, or misuse occurring at this time. Given the military nature and potential for autonomous operations, the system's deployment could plausibly lead to harms such as injury, disruption, or violations of rights in the future. Since no harm has yet occurred, this event is best classified as an AI Hazard. It is not Complementary Information because it does not update or respond to a prior incident, nor is it Beneficial Use as the AI system itself is the subject, not a countermeasure to external harm. It is not Unrelated because the AI system is central to the event.[AI generated]

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Malicious Claude Code Extension Infects Thousands via Cursor Marketplace

2026-10-30
United States

A malicious version of the Claude Code AI extension was distributed through the Cursor code editor's marketplace, infecting up to 5,000 users across Windows, macOS, and Linux. The tampered extension installed SSH backdoors, enabling unauthorized access and data exfiltration. Cursor removed the extension and advised users to update and secure their systems.[AI generated]

AI principles:
Robustness & digital securitySafety
Industries:
Digital securityIT infrastructure and hosting
Affected stakeholders:
Consumers
Harm types:
Human or fundamental rights
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

The malicious Claude Code extension is an AI system component that was used maliciously to collect sensitive user information and install a backdoor for remote access, directly harming users' privacy and security. The incident affected 5,000 users, demonstrating realized harm. The AI system's misuse and malfunction (malicious code) directly led to this harm. Therefore, this qualifies as an AI Incident rather than a hazard or complementary information.[AI generated]

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North Korea Prioritizes AI-Enabled Military Drones for Defense Modernization

2026-10-30
DPRK

North Korean leader Kim Jong-un announced the prioritization of artificial intelligence integration into unmanned weapon systems and military drones to modernize the country's armed forces. The initiative, revealed at a military exhibition, aims for "absolute superiority" in drone technology, raising concerns about future AI-enabled military risks.[AI generated]

AI principles:
Respect of human rightsDemocracy & human autonomy
Industries:
Government, security, and defence
Affected stakeholders:
General public
Harm types:
Physical (death)Human or fundamental rights
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Recognition/object detectionReasoning with knowledge structures/planning
Why's our monitor labelling this an incident or hazard?

The article explicitly mentions the integration of AI into unmanned weapon systems and the prioritization of drone technology for military use by North Korea. Although no direct harm or incident has occurred yet, the development of AI-enabled autonomous weapons is widely recognized as a significant risk that could plausibly lead to injury, human rights violations, and other harms. The event is about the development and strategic prioritization of such systems, not about an actual incident or realized harm. Hence, it fits the definition of an AI Hazard rather than an AI Incident or other categories.[AI generated]

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North Korean Hackers Use AI for Large-Scale Phishing and Cyberattacks Targeting South Korea

2026-10-30
Korea

North Korean hacking groups have integrated AI into their cyberattack operations, rapidly generating phishing documents, fake recruitment offers, and malware targeting South Korean users. Microsoft reports these AI-driven attacks have increased in speed and scale, causing harm through deception, fraud, and security breaches.[AI generated]

AI principles:
SafetyRespect of human rights
Industries:
Digital security
Affected stakeholders:
General public
Harm types:
Economic/PropertyHuman or fundamental rights
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

The article explicitly states that AI was used to create phishing documents targeting South Korean users and to develop malicious code insertion techniques, which are forms of cyberattacks causing harm to individuals and organizations (harm to people and property). The AI systems' use in these attacks directly contributes to realized or ongoing harm, meeting the criteria for an AI Incident. The presence of AI is reasonably inferred from the rapid generation of tailored phishing documents and AI-based development tools for malware insertion. Although some details about actual damage are not fully confirmed, the ongoing use and past incidents confirm realized harm. Hence, this is not merely a potential hazard or complementary information but an AI Incident.[AI generated]

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AI-Driven Cyberattacks Target Indian Banks, Prompting RBI Crackdown

2026-10-30
India

Hackers have used sophisticated AI tools to exploit vulnerabilities in Indian banks' API systems, leading to data breaches and unauthorized fund transfers. The Reserve Bank of India (RBI) has responded by mandating stricter cybersecurity measures and compliance checks to address these AI-related risks and protect financial institutions and customers.[AI generated]

AI principles:
Privacy & data governanceRobustness & digital security
Industries:
Financial and insurance services
Affected stakeholders:
ConsumersBusiness
Harm types:
Human or fundamental rightsEconomic/Property
AI system task:
Event/anomaly detection
Why's our monitor labelling this an incident or hazard?

The article explicitly mentions AI-assisted cyberattacks leading to data leaks and unauthorized financial transfers, which are harms to property and customers. The RBI's actions are in response to these incidents, confirming that harm has occurred. The AI system's use in hacking and exploiting API vulnerabilities is a direct factor in these harms. Hence, the event meets the criteria for an AI Incident rather than a hazard or complementary information.[AI generated]

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AI-Driven Hack Results in $6.3 Billion Binance Cryptocurrency Theft

2026-10-30
Singapore

Hackers used artificial intelligence to automate and obscure laundering of $6.3 billion stolen from Binance, the world's largest cryptocurrency exchange. AI tools enabled rapid discovery of vulnerabilities and complex transaction patterns, making detection difficult. The incident caused major financial losses and disrupted crypto markets.[AI generated]

AI principles:
AccountabilityRobustness & digital security
Industries:
Financial and insurance servicesDigital security
Affected stakeholders:
BusinessGeneral public
Harm types:
Economic/Property
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Reasoning with knowledge structures/planningGoal-driven organisation
Why's our monitor labelling this an incident or hazard?

The event involves the use of AI-enabled automation by attackers to launder stolen cryptocurrency rapidly, which is a direct use of AI systems in the commission of a large-scale theft. The harm is realized and significant, involving financial loss and disruption to a critical financial infrastructure (cryptocurrency exchange). Therefore, this qualifies as an AI Incident because the AI system's use directly contributed to the harm.[AI generated]

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Elon Musk Warns of Future AI-Driven Crypto Heists After Binance Hack

2026-10-30
China

Following a $6.3 billion hack at Binance, Elon Musk warned that superintelligent AI agents could eventually exploit cryptocurrency systems autonomously for financial gain. While the Binance breach was caused by human hackers, Musk's comments highlight credible future risks of AI-enabled financial crimes. No current harm was attributed to AI systems.[AI generated]

AI principles:
AccountabilityRobustness & digital security
Industries:
Financial and insurance servicesDigital security
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Goal-driven organisation
Why's our monitor labelling this an incident or hazard?

The article describes a credible potential risk (AI agents autonomously hacking crypto systems to fund themselves) but does not report any realized harm caused by AI systems. The Binance hack itself is attributed to human attackers, with no AI involvement. The AI-related concerns are speculative and forward-looking, focusing on what could plausibly happen in the future based on AI capabilities and prior tests. Therefore, this qualifies as an AI Hazard, as it highlights a plausible future harm scenario involving AI, but no actual AI Incident has occurred.[AI generated]

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Meta's AI Smart Glasses Spark Privacy Violations and Senate Inquiry

2026-10-29
United States

Meta's AI-enabled smart glasses have led to privacy violations, including nonconsensual recording and sharing of intimate images for AI training. US Senators Wyden and Markey launched an inquiry, citing incidents of sexual harassment and overseas contractors reviewing sensitive footage. Meta faces scrutiny over its safeguards and privacy practices.[AI generated]

AI principles:
Privacy & data governanceRespect of human rights
Industries:
Consumer products
Affected stakeholders:
General public
Harm types:
Human or fundamental rights
Business function:
Other
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Recognition/object detection
Why's our monitor labelling this an incident or hazard?

The smart glasses use AI for visual processing and data handling, which has directly led to privacy violations and misuse of sensitive content, constituting harm to individuals' rights. The senators' investigation highlights these harms and the company's insufficient safeguards. The involvement of AI in recording, processing, and training models with sensitive data is pivotal to the incident. Since actual harm has occurred and is ongoing, this is classified as an AI Incident rather than a hazard or complementary information.[AI generated]

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Dutch Regulator Warns of AI Risks in Debt Collection Agencies

2026-10-29
Netherlands

The Dutch Data Protection Authority (AP) warns that debt collection agencies increasingly use AI to assess debt recovery chances and gather personal data, raising risks of discrimination, incorrect decisions, and illegal fully automated decisions. The AP urges human oversight to prevent unfair treatment and rights violations.[AI generated]

AI principles:
FairnessAccountability
Industries:
Financial and insurance services
Affected stakeholders:
Consumers
Harm types:
Human or fundamental rightsEconomic/Property
Business function:
Compliance and justice
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Forecasting/prediction
Why's our monitor labelling this an incident or hazard?

The article explicitly mentions AI systems used by debt collection agencies and the risks they pose, such as discrimination and incorrect decisions, which could lead to harm like violations of rights or unfair treatment. Since no actual harm has been reported but the risks are credible and plausible, this qualifies as an AI Hazard rather than an Incident. The event focuses on potential future harm from AI use, not on realized harm or a response to past harm.[AI generated]

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Google Unveils Gemini 4 Carbon AI with Cybersecurity Risks

2026-10-29
United States

Google DeepMind launched Gemini 4 Carbon, an advanced AI capable of autonomously identifying and exploiting software vulnerabilities. While achieving record performance in cybersecurity tests, Google is restricting access due to concerns that its dual-use capabilities could enable cyberattacks if misused. No actual harm has occurred yet.[AI generated]

AI principles:
Robustness & digital securitySafety
Industries:
Digital securityIT infrastructure and hosting
Business function:
Research and development
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Event/anomaly detectionGoal-driven organisation
Why's our monitor labelling this an incident or hazard?

The AI system (Gemini 4 Carbon) is explicitly described as capable of discovering and exploiting software vulnerabilities, which could lead to significant harms such as cyberattacks, breaches of security, and disruption of critical infrastructure. Although no actual harm has been reported yet, the potential for such harm is credible and recognized by Google, which is limiting access and implementing safeguards. This fits the definition of an AI Hazard, as the development and use of this AI system could plausibly lead to an AI Incident involving harm to property, communities, or critical infrastructure.[AI generated]

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Unauthorized AI Relay Disables Security Protections at Multiple Asian Enterprises

2026-10-29
China

A grey market relay service installs genuine OpenAI Codex and Anthropic Claude Code tools at 12 organizations, mainly in mainland China, disabling sandboxing and rerouting data through third-party servers. This exposes sensitive enterprise information and disables security protections, creating significant risks and realized harm to affected companies.[AI generated]

AI principles:
Privacy & data governanceRobustness & digital security
Industries:
Digital securityIT infrastructure and hosting
Affected stakeholders:
Business
Harm types:
Economic/PropertyReputationalHuman or fundamental rights
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

The event involves AI systems (OpenAI Codex and Anthropic Claude Code) whose use has been altered by a relay service that disables security features, creating a credible risk of harm to organizations using these tools. Although no direct harm or malicious activity has been observed, the disabling of execution sandboxes and replacement of credentials significantly increase the risk of cyberattacks or data breaches. This fits the definition of an AI Hazard, as the development and use of the AI systems in this unauthorized and insecure manner could plausibly lead to an AI Incident involving harm to property or communities. The event does not qualify as an AI Incident because no realized harm has occurred yet, nor is it Complementary Information or Beneficial Use.[AI generated]

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Unauthorized Access to ChatGPT Accounts Exposes Sensitive Data and Enables Scams

2026-10-29
Argentina

Multiple reports highlight that unauthorized access to ChatGPT accounts can expose sensitive user data, including personal, professional, and confidential documents. Cybercriminals may exploit this information for personalized scams, fraud, and social engineering attacks, affecting both individuals and organizations. ESET Latinoamérica recommends enhanced security measures to mitigate risks.[AI generated]

AI principles:
Privacy & data governanceRobustness & digital security
Industries:
Digital security
Affected stakeholders:
ConsumersBusiness
Harm types:
Economic/PropertyHuman or fundamental rights
Autonomy level:
No-action autonomy (human support)
AI system task:
Interaction support/chatbots
Why's our monitor labelling this an incident or hazard?

The article explicitly involves an AI system (ChatGPT) whose account theft leads to direct harm through exposure of sensitive data, enabling social engineering attacks, unauthorized financial transactions, and broader organizational risks. The harms include violations of privacy and potential economic losses, fitting the definition of an AI Incident. The article describes realized harm rather than potential harm, and it is not merely complementary information or unrelated news. Hence, the classification as AI Incident is appropriate.[AI generated]

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North Korea Demonstrates AI-Enabled Military Drones and Precision Rocket Systems

2026-10-29
DPRK

North Korea, led by Kim Jong-un, showcased AI-enabled suicide drones and unmanned aerial vehicles targeting mock South Korean and US military assets at a defense exhibition in Wonsan. The event highlighted advancements in military AI and autonomous weaponry, signaling increased threat capabilities and potential harm to regional security.[AI generated]

AI principles:
SafetyRespect of human rights
Industries:
Government, security, and defenceRobots, sensors, and IT hardware
Affected stakeholders:
Government
Harm types:
Public interest
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Recognition/object detectionGoal-driven organisation
Why's our monitor labelling this an incident or hazard?

The article explicitly describes the use and demonstration of unmanned aerial vehicles and missile systems capable of precision strikes, which reasonably involve AI systems for autonomous or semi-autonomous operation. The event is a military exhibition showcasing these AI-enabled weapons, including a 600mm large-caliber rocket launcher capable of carrying tactical nuclear warheads. While no actual harm is reported as having occurred during the demonstration, the deployment and potential use of such AI-enabled weapons pose a credible risk of significant harm to people and communities. The event thus represents a plausible future risk (AI Hazard) rather than a realized harm (AI Incident). It is not Complementary Information because the article focuses on the demonstration and exhibition itself, not on responses or updates to prior incidents. It is not Beneficial Use, as the AI systems are used for military offensive purposes, not for harm prevention or mitigation. Therefore, the classification is AI Hazard.[AI generated]

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AI-Generated Fake Image Claims Călin Georgescu's Son Won Ballon d'Or, Causes Viral Misinformation

2026-10-29
Romania

An AI-generated image falsely depicting Călin Georgescu's son as the winner of the Ballon d'Or went viral on Romanian social media, misleading thousands. Despite clarifications, many believed the fabricated story, resulting in widespread misinformation and reputational confusion, including mistaken identity for athlete Paul Georgescu.[AI generated]

AI principles:
Transparency & explainabilityAccountability
Industries:
Media, social platforms, and marketing
Affected stakeholders:
OtherGeneral public
Harm types:
Reputational
Autonomy level:
High-action autonomy (human-out-of-the-loop)
AI system task:
Content generation
Why's our monitor labelling this an incident or hazard?

The event involves the use of AI systems to create and spread false images and claims, which misled a significant number of people. The harm is realized as misinformation causing confusion and false beliefs among the public, which is a form of harm to communities. The AI system's use directly led to this harm. Hence, it meets the criteria for an AI Incident rather than a hazard or complementary information.[AI generated]

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US Lawmakers Demand Transparency on Trump's Use of AI Chatbots in Military Decisions

2026-10-29
United States

US Congress members Jamie Raskin and Robert Garcia have demanded that former President Donald Trump retain records of his interactions with AI chatbots, such as Elon Musk's Grok, amid concerns these systems may have influenced sensitive military decisions. Lawmakers cite risks of inaccurate or manipulated AI outputs affecting national security.[AI generated]

AI principles:
Transparency & explainabilityAccountability
Industries:
Government, security, and defence
Affected stakeholders:
General publicGovernment
Harm types:
Public interest
Autonomy level:
Low-action autonomy (human-in-the-loop)
AI system task:
Interaction support/chatbotsContent generation
Why's our monitor labelling this an incident or hazard?

The article explicitly involves AI systems (chatbots like Groq, ChatGPT, Claude, Gemini) used in sensitive political and military contexts. The concerns raised relate to the AI systems' use potentially leading to errors, biased advice, or manipulation that could harm national security and decision-making accuracy. Since no actual harm is reported but credible risks of harm are emphasized, this constitutes an AI Hazard. The event does not describe a realized incident but a plausible future risk from AI use in critical government decisions, fitting the definition of an AI Hazard rather than an Incident or Complementary Information.[AI generated]