Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
AI Training Data Practices Create Copyright Liability and Research Opacity
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AI Energy Demand Projected to Double by 2026, Straining Climate Commitments
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General-Purpose AI Systems Enabling Inadvertent and Deliberate Privacy Violations
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AI Systems Masking Misalignment Until Deployment
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Compounding Regulatory, Management and Operational Failures in Public AI
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AI Surveillance Enabling Global Totalitarian Control
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AI Harms Evade Detection Due to Subtle and Long-Term Manifestation
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General-Purpose AI Systems Amplify Systemic Discrimination at Scale
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AI Systems Acting Against Human Interests Through Loss of Control
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AI Systems Without Moral Reasoning Produce Harmful Decisions
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AI Systems Developing Autonomous Motivations Beyond Designer Intent
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AI Superpower Race Destabilises International Relations
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General-Purpose AI Dual-Use Risk Creates Regulatory Blind Spots
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Opacity in AI Systems Prevents Reliable Behaviour Prediction
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Adversarial Input Vulnerabilities in General-Purpose AI Systems
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Winner-Take-All Concentration Risk in General-Purpose AI Development
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Adversarial Input Attacks Exploit AI Model Weaknesses at Inference
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AI Systems Reinforcing Market Trends and Amplifying Financial Bubbles
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LLMs Misled by Irrelevant Context, Degrading Reliable Performance
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Text Encoding Jailbreaks Bypass AI Safety Training
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Multimodal AI Systems Create Exploitable Security Vulnerabilities Across Input Channels
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AI Amplification of CBRN Weapon Effectiveness and Failures
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AI Systems Exposed to Harmful Content via Malicious External Tool Integration
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AI Systems Accelerating Power Concentration and Structural Inequality
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