AIBlindspot

Public Database

Case Studies

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

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Showing 1120 of 1296 cases

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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
OPSOPS-0014/5NewOtherGlobal

LLMs Exhibit Measurable Personality Traits That Signal Embedded Bias

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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
GOVGOV-0015/5NewOtherGlobal

LLM Goal Misalignment and Power-Seeking Behaviour Identified in Evaluation Catalogue

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
OPSOPS-0014/5NewTechnologyGlobal

LLMs Misled by Irrelevant Context, Degrading Reliable Performance

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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
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
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
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
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
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
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
HUMHUM-0043/5NewRetailGlobal

AI Capability Misinformation Drives Retail Overreliance and Customer Harm

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)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
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
GOVGOV-0013/5NewOtherGlobal

AGI Value Specification: The Risk of Misaligned Goal Design

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)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-0033/5NewOtherGlobal

AI and Automation Systems Drive Excess Carbon Emissions

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