Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Over-Automated AI Systems Exhibit Unsafe and Unreliable Behaviour
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AI Data Centre Cooling Drives Local Water Shortages
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AI Hardware Supply Chains Drive Depletion of Critical Natural Resources
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AI Systems Expose Personal Data and Breach User Privacy
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Discriminative Data Bias Produces Systematically Unfair AI Decisions
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AI-Driven Job Automation Causing Systemic Economic Displacement
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Concentrated AI Market Creates Systemic Risk Across Critical Sectors
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Black-box AI models obscure data and model flaws from developers
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Concept Drift Degrades AI Model Reliability Over Time
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General-Purpose AI Manipulation of Public Information and Epistemic Systems
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AI-Driven Irreversible Shifts in Social Structures and Cultural Norms
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Operational Data Drift Degrades AI Model Performance
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General-Purpose AI Drives Systemic Economic Disruption and Wealth Inequality
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AI-Driven Labour Market Disruption Poses Uneven Employment and Wage Risks
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AI R&D Concentration in High-Income Nations Deepens Global Inequality
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Loss of Control Scenarios Identified as Existential Risk in AI Safety Report
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AI Training Data Practices Create Copyright Liability and Research Opacity
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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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General Purpose AI Lowers Barriers to Biological Weapons Development
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