Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Data Leakage Risks in AI Research and Development Pipelines
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Generative AI Models Produce Harmful Content Without Adversarial Triggers
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AI Systems Lower Barriers to WMD Design and Cyber Weapon Development
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AI Personalisation Systems Entrench Information Cocoons and Distort Public Awareness
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Generative AI Enables Personalised Harassment at Scale
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AI Systems Exploited to Facilitate Criminal Activity
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AI Systems Pursuing Power and Resource Control to Maximise Assigned Goals
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AI developers withhold model details, blocking effective regulatory oversight
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Excessive Energy Consumption from Large-Scale AI Model Training
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Generative AI Enabling Access to CBRN Weapons Information
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Regulatory Oversight Failures Caused by AI Complexity and Rapid Evolution
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Generative AI Confabulation in Government Services
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Generative AI Enables Mass Production of Violent and Radicalising Content
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AI Systems Exploiting Personal Identity Without Consent
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AI Agents Shown to Develop Power-Seeking Incentives
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Generative AI Systems Bypass Access Controls to Produce Illegal Content
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Generative AI Enables Mass Production of CSAM and Non-Consensual Intimate Images
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General-Purpose AI Systems Amplify Social and Political Bias at Scale
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General-Purpose AI Models Leak Personal Data and Enable Privacy Abuse
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General-Purpose AI Risks Broad Structural Unemployment Across Labour Markets
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AI Energy Consumption Driving Rapid Growth in CO2 Emissions
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General-Purpose AI Enabling Automated Vulnerability Discovery and Malware Development
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AI Agents Cannot Reliably Maintain Intended Goals Under Self-Modification
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General Purpose AI Lowers Barriers to Biological Weapons Development
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