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 and Automation Systems Causing Direct and Indirect Environmental Damage
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AI-Driven Economic Instability Through Uncontrolled Financial System Fluctuations
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AI-Driven Micro-Targeting Used to Manipulate Voters via Personal Data
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AI-Driven Manipulation of Political Beliefs and Government Service Delivery
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AI and Automated Systems Causing Environmental Pollution
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AI Hardware Lifecycle Generating Unmanaged Electronic Waste
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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 Advertising Models Driving Systemic Influence Over Consumer Behaviour
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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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Advanced AI Systems Concentrate Economic Power and Widen Inequality
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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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AI-Enabled Persuasion Tools Pose Systemic Manipulation Risk
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Ability to enhance and modify pathogens — case from A Taxonomy of Systemic Risks from General-Purpose AI
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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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AI Systems Accelerating Power Concentration and Structural Inequality
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