Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
General-Purpose AI Repurposed for Malicious Ends
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AI Systems Enabling Escalating Privacy Violations and Surveillance
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AI Systems Driving Unquantified Environmental and Climate Harms
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Concentrated AI Supply Chain Creates Systemic Risk in Healthcare Sector
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Systemic Gap in Human-AI Coexistence Frameworks Across Public Sector
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Accountability Gaps in AI Decision-Making Systems
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AI Capability Misinformation Drives Retail Overreliance and Customer Harm
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Black-Box AI in Healthcare Blocks Clinical Verification
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Autonomous Vehicle AI Creates Unresolved Liability and Ethical Decision Gaps
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AI Systems in Elder and Child Care Risk Psychological Manipulation
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AGI Value Specification: The Risk of Misaligned Goal Design
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Absence of Accountability Frameworks in AI Decision-Making
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General Purpose AI Reproduces Discriminatory Stereotypes at Scale
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Superintelligent AI Agents Risk Becoming Uncontrollable as Autonomy Increases
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AI Decision Opacity Blocks External Accountability in Public-Sector Systems
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AI in Elder and Child Care Raises Manipulation and Privacy Governance Risks
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LLMs Accelerating Dual-Use AI Development at Scale
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AI Systems Exposing Personal Data Through Inadequately Secured Channels
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AI Training on Copyrighted Data Undermines Creator Rights and Incentives
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AI Systems Drive Excessive Energy Consumption and Supply Shortfalls
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AI System Reliability Failures in Government Operations
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AI Systems Exposed to the Same Cyber Vulnerabilities as Conventional Software
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LLMs Exhibit Measurable Personality Traits That Signal Embedded Bias
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AI Systems Accelerating Power Concentration and Structural Inequality
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