Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
LLM Goal Misalignment and Power-Seeking Behaviour Identified in Evaluation Catalogue
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LLMs Evaluated for Offensive Cyber Capabilities Including Exploit and Evasion Skills
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LLMs Identified as Tools for Political Influence and Strategic Manipulation
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AI Auditors Lack Capacity to Validate General-Purpose AI Safety Claims
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LLM Toxicity Generation Across Hate Speech and Abusive Language
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AI-Generated Disinformation Undermines Electoral Integrity
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Deliberate Pre-Deployment Sabotage of AI Systems by Insiders or Hackers
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Pre-Deployment Design Errors Producing Misaligned AI Behaviour
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Recommender Algorithms Amplify Anthropocentric Bias and Animal Cruelty Content
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AI Systems Fail Reliably on Rare and Ambiguous Inputs
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AI System Performance Requirements Left Undefined Until Too Late
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AI Deepfakes Generate Fabricated Financial Information at Scale
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AI Systems Fail to Explain Internal Decision-Making to Oversight Bodies
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AI Systems Designed for Environmental Benefit Cause Unintended Animal Harm
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LLM Evaluation Reveals Weapons Access and Development Risks
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AI-Driven Computational Propaganda Deployed in UK Brexit Referendum
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AI R&D Concentration Deepens Global Technology Inequality
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Multimodal Deepfakes Enabling Financial Fraud and Market Manipulation
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AI Monitoring Replacing Human Observation Leads to Animal Welfare Neglect
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AGI Systems Risk Fatal Errors During Active Learning Phases
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Biological and chemical attacks — case from International AI Safety Report 2025
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Generative AI Reproduces Copyrighted and Proprietary Content Without Authorisation
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General-Purpose AI Repurposed for Malicious Ends
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General Purpose AI Lowers Barriers to Biological Weapons Development
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