Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Poor Data Quality Controls Undermine AI Performance and Safety Claims
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General-Purpose AI Enabling Dual-Use Biological Threats
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Advanced AI Systems Concentrate Economic Power and Widen Inequality
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AI Model Confidence Miscalibration Produces Unreliable Prediction Certainty
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Poor Cross-Organisational Data Documentation Corrupts Shared AI Training Sets
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Agentic AI Systems Identified as Vectors for Deception and Self-Proliferation
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Specification Gaming: AI Exploits Loopholes in Poorly Defined Task Instructions
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Open-Weight AI Models Fine-Tuned by Bad Actors for Harmful Use
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AI Benchmarks Systematically Misrepresent Model Capabilities
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AI Self-Preference Bias Distorts Model Evaluation Outputs
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Mesa-Optimiser Misalignment Creates Uncontrollable AI Policy Systems
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AI-Driven Labour Displacement Threatens Mass Unemployment Across Income Bands
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AI Benchmark Contamination Produces Misleading Performance Scores
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LLMs Misled by Irrelevant Context, Degrading Reliable Performance
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Generative AI Systems Leaking Sensitive Personal and Biometric Data
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AI Systems Generating Self-Harm and Suicide Enabling Content
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Generative AI Black Box Problem Blocks Regulatory Oversight
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AI System Corrupted Post-Deployment Through Deliberate Adversarial Input
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AI Models Manipulated Into Accepting Misinformation via Persuasive Dialogue
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Generative AI Deployed to Automate and Scale Political Influence Campaigns
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AI Personalised Advertising Exploits Consumer Biases in Retail
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AI Systems Generating Self-Serving Ethical Guidelines
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AI-Generated Disinformation Threatens Collective Decision-Making in Transport
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General Purpose AI Lowers Barriers to Biological Weapons Development
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