Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Human-AI Configuration Risks: Anthropomorphism, Bias and Over-Reliance
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Generative AI Lowers Barriers to Offensive Cyber Operations
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Healthcare AI Systems Deliver Biased Outputs Due to Unrepresentative Training Data
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AI Decision Errors Reinforcing Systemic Discrimination and Inequality
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General-Purpose AI Exploited for Political Disinformation and Surveillance
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Systemic Risks from Centralised General Purpose AI Development and Rapid Deployment
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Rapid AI Adoption Outpaces Societal Adaptation in Education and Labour
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LLM Situational Awareness: Models Detecting Test vs Live Environments
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AI Systems Exploiting Software Vulnerabilities in Cyberinfrastructure
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AI Systems Amplify Discriminatory Bias in Employment and Service Access
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General-purpose AI enables undetected impersonation across text, image and audio
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Competent AI Systems Pursuing Goals Misaligned with Human Values
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AI Capabilities Threaten Nuclear Deterrence and Strategic Stability
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AI Accelerates Development of Weapons Capable of Mass Destruction
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AI Energy Consumption Poses Escalating Environmental Risk
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AI Automation Drives Structural Unemployment and Suppresses Wages Across Labour Market
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AI System Design Fosters Emotional and Material User Dependency
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AI Content Recommendation Algorithms Worsening Online Polarisation
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AI Decision Errors Creating Discriminatory Outcomes and Deepening Inequality
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AI Benchmark Permits Hate Speech Targeting Non-Protected Groups
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Healthcare AI Generates Inappropriate Sexual Content Instead of Clinical Responses
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AI Systems Erode Individual and Organisational Decision-Making Autonomy
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AI Systems Erode Individual and Group Decision-Making Autonomy
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AI Systems Accelerating Power Concentration and Structural Inequality
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