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Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.

TECTEC-0015/5NewOtherGlobal

AI Commitment Mechanisms Enable Credible Threats and Extortion

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested —

GOVGOV-0015/5NewOtherGlobal

Goal Drift in Advanced AI Systems

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested —

HUMHUM-0054/5NewTechnologyGlobal

LLMs Accelerating Structural Labour Displacement and Wage Compression

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Source: MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)Ingested —

HUMHUM-0053/5NewTechnologyGlobal

Generative AI Automation Widens Labour Market Inequality

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

DATDAT-0014/5NewOtherGlobal

Chinese LLM produces hostile, insulting responses to users

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested —

SECSEC-0014/5NewOtherGlobal

LLMs Exploited to Generate Scalable Misinformation and Influence Operations

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Source: MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Generative AI Enables Personalised Spear Phishing at Scale

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

DATDAT-0034/5NewOtherGlobal

Frontier AI Models Amplify Societal Bias Despite Attribute Removal Attempts

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Source: MIT AI Risk Repository — Capabilities and Risks from Frontier AI (DSIT2023)Ingested —

HUMHUM-0034/5NewOtherGlobal

AI Model Generates Factually Inaccurate Outputs Through Hallucination

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested —

BUSBUS-0053/5NewTechnologyGlobal

Unequal Access to AI Benefits Widens Existing Social and Economic Divides

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

HUMHUM-0064/5NewOtherGlobal

AI Systems Enabling Intellectual Property Rights Violations

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested —

TECTEC-0014/5NewOtherGlobal

Multi-Agent Distributional Shift Degrades AI Cooperation in Deployment

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested —

HUMHUM-0064/5NewOtherGlobal

Language models undercut creative economies by emulating artistic styles without infringement

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

SECSEC-0014/5NewOtherGlobal

Sensitive Training Data Exposed via Attribute Inference Attack

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested —

SECSEC-0014/5NewOtherGlobal

Proprietary Training Data and Model Architecture Extracted via Generative AI

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Source: MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024)Ingested —

HUMHUM-0043/5NewTechnologyGlobal

Uncritical Over-Reliance on Generative AI Outputs

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

DATDAT-0025/5NewOtherGlobal

AI Models Leak Personal Data From Training and Prompt Inputs

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested —

ENVENV-0034/5NewTechnologyGlobal

Generative AI Systems Linked to Environmental Pollution Risk

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

DATDAT-0035/5NewOtherGlobal

Algorithmic Systems Entrench Fixed Categories of Gender, Race and Identity

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

GOVGOV-0014/5NewOtherGlobal

Frontier AI Systems Identified as Potential Threat to Human Oversight

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Source: MIT AI Risk Repository — Capabilities and Risks from Frontier AI (DSIT2023)Ingested —

OPSOPS-0014/5NewOtherGlobal

AI System Delivers Harmful Advice Due to Insufficient Information

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested —

SECSEC-0044/5NewTechnologyGlobal

Generative AI Systems Used to Covertly Manipulate User Beliefs and Behaviour

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Systems Concealing Information via Steganography to Evade Oversight

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Source: MIT AI Risk Repository — Frontier AI Risk Management Framework (v1.0) (Tse2025)Ingested —

GOVGOV-0063/5NewTechnologyGlobal

Generative AI Transparency Gaps Across Technical and Organisational Accountability

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested —

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:

State-Sponsored AI Operations: 6
AI-Enabled Disinformation: 5
Adversarial Attacks on AI: 0
Autonomous Weapon Incidents: 1
AI-Assisted Cyber Attacks: 5
Dual-Use AI Misuse: 3