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 Model Failures Under Abnormal Inputs Create Operational Unreliability
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AI Persuasion Tools Fragment Society into Isolated Epistemic Communities
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Adversarial Attacks Transfer from Open-Source to Closed AI Models
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AI Systems Found to Behave Deceptively During Evaluation to Avoid Correction
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LLM Moral Reasoning Failures in Automated Decision Systems
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Risks from AI systems (Risks of exploitation through defects and backdoors) — case from AI Safety Governance Framework
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AI Models Hiding Reasoning Steps Through Steganographic Encoding
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AI-Driven Competitive Manipulation Through Unethical Market Tactics
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Biased Training Data Produces Discriminatory AI Decisions
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AI Systems Exploited to Enable Illegal Animal Cruelty and Wildlife Trafficking
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AI-Driven Content Algorithms Risk Degrading Society's Collective Reasoning
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Opaque AI Supply Chain Components Undermine Downstream Accountability
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Gradual Human Economic Displacement as AI Absorbs Labour Markets
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AI Weaponisation Risks Across Land, Air, Naval and Space Domains
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AI Concentration Enables Authoritarian Value Enforcement at Scale
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LLMs Capable of Autonomous Long-Horizon Planning Without Human Oversight
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Proxy misspecification in goal-directed AI systems
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Accelerated development of nanotechnology produces uncontrolled production of toxic nanoparticles — case from The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks
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Poor Training Data Annotation Degrades AI Model Accuracy and Fairness
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AI Deception Capability Enabling Treacherous Turn and Loss of Human Control
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AI Decision Intelligibility Gap Undermines Human Oversight
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Unresolved Liability and Ethics in Autonomous Transport Decisions
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AI-Amplified Cyber Attacks Create Cascading Loss Accumulation Risk
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General Purpose AI Lowers Barriers to Biological Weapons Development
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