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 Use Erodes Human Creativity and Critical Thinking Capacity
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Cascading Failures Across Interconnected AI Networks
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General Purpose AI Reproduces Discriminatory Stereotypes at Scale
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Vendor Lock-In Creates Systemic Vulnerability in AI Supply Chains
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AI Operational Speed Outpaces Human Error Detection in Competitive Environments
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Generative AI Models Producing Directly Harmful Content to Users
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Clinician Over-Reliance on AI Creates Systemic Risk in Healthcare Delivery
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Post-deployment benchmark contamination skews AI performance evaluations
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AI Benchmarks Saturate and Fail to Detect Capability Advances
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Unchecked AI Autonomy Generates Unintended Systemic Consequences
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Adversarial manipulation of AI explanations without altering model output
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AI Systems Resist Effective Regulation Under International Law
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General-Purpose AI Capabilities Resist Reliable Measurement
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AI Training on Copyrighted Data Undermines Creator Rights and Incentives
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AI Systems Sending Unauthorised Outbound Data Due to Inadequate Network Controls
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AI Worst-Case Failure in Safety-Critical Defence Operations
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AI Systems Fuelling Political Polarisation and Electoral Legitimacy Erosion
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Democratizing access to dual-use technologies — case from Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
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AI-Driven Alternative Financial Data Creates Systemic Tail Risk
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Instruction Tuning Poisoning Attacks on General-Purpose AI Models
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Over-tuned Safety Filters Cause AI Systems to Reject Legitimate Requests
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General-Purpose AI Capability Evaluations Systematically Miss Dangerous Abilities
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Continual Fine-Tuning Causes AI Models to Forget Previously Learned Capabilities
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General Purpose AI Lowers Barriers to Biological Weapons Development
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