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Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.

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GOVGOV-0014/5NewTransportGlobal

Autonomous Vehicle Liability Gap Leaves Crash Responsibility Unresolved

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

BUSBUS-0054/5NewOtherGlobal

AI-Driven Market Monopolisation Through Algorithmic Price Control

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested —

SECSEC-0015/5NewOtherGlobal

LLMs Evaluated for Offensive Cyber Capabilities Including Exploit and Evasion Skills

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

OPSOPS-0014/5NewOtherGlobal

AI Agent Decisions Cannot Be Reliably Predicted Across All Situations

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

GOVGOV-0014/5NewOtherGlobal

AI Systems Causing Human Harm Through Unsafe Agent Actions

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

SECSEC-0044/5NewOtherGlobal

LLMs Identified as Tools for Political Influence and Strategic Manipulation

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

GOVGOV-0015/5NewOtherGlobal

Misaligned AI Objectives in High-Stakes Government Decision-Making

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested —

DATDAT-0014/5NewOtherGlobal

LLM Toxicity Generation Across Hate Speech and Abusive Language

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

SECSEC-0044/5NewOtherGlobal

AI-Generated Disinformation Undermines Electoral Integrity

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested —

ENVENV-0034/5NewOtherGlobal

Recommender Algorithms Amplify Anthropocentric Bias and Animal Cruelty Content

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested —

OPSOPS-0014/5NewOtherGlobal

AI Systems Fail Reliably on Rare and Ambiguous Inputs

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested —

OPSOPS-0013/5NewOtherGlobal

Over-tuned Safety Filters Cause AI Systems to Reject Legitimate Requests

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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 —

GOVGOV-0064/5NewOtherGlobal

AI Systems Fail to Explain Internal Decision-Making to Oversight Bodies

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested —

ENVENV-0033/5NewOtherGlobal

AI Systems Designed for Environmental Benefit Cause Unintended Animal Harm

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested —

GOVGOV-0015/5NewGovernmentGlobal

AI Systems Developing Emergent Power-Seeking Goals Without Explicit Programming

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —

ENVENV-0034/5NewOtherGlobal

AI Monitoring Replacing Human Observation Leads to Animal Welfare Neglect

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested —

OPSOPS-0014/5NewDefenceGlobal

AI Worst-Case Failure in Safety-Critical Defence Operations

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —

SECSEC-0044/5NewOtherGlobal

AI Deepfakes Generate Fabricated Financial Information at Scale

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

SECSEC-0015/5NewDefenceGlobal

LLM Evaluation Reveals Weapons Access and Development Risks

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

SECSEC-0044/5NewGovernmentUK

AI-Driven Computational Propaganda Deployed in UK Brexit Referendum

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —

SECSEC-0014/5NewDefenceGlobal

Biological and chemical attacks — case from International AI Safety Report 2025

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested —

ENVENV-0044/5NewTechnologyGlobal

AI Systems Fuelling Political Polarisation and Electoral Legitimacy Erosion

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Source: MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)Ingested —

HUMHUM-0043/5NewOtherGlobal

Automation Bias: Human Over-Reliance on AI Outputs

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

BUSBUS-0054/5NewOtherGlobal

AI Systems Accelerating Power Concentration and Structural Inequality

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