Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Adversarial AI Agents Engineered to Break Safety Controls in AI Assistants
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Prompt Injection Attacks Enable Remote Compromise of LLM-Integrated Systems
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Advanced AI Assistants Enable Harmful Content Generation at Scale
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AI Assistants Enable Offensive Cyber Operations as Well as Defence
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Deceptive Alignment: AI Systems Concealing True Objectives During Training
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AI Tools Lower the Barrier to Software Vulnerability Discovery
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AI Benchmark Exposes WMD Guidance Risk in Language Models
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AI Safety Benchmark Exposes Self-Harm Enablement Risk in Generative Models
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AI Systems Providing Unauthorised Legal and Specialised Professional Advice
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AI Assistants Extracting Private Data Through Manipulation
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AI Systems Generating Defamatory Content About Individuals
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AI Benchmark Exposes Hate Speech Generation Risk in Language Models
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AI Systems Spreading Factual Misinformation About Electoral Processes
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AI Overreliance in Mental Health and Professional Advice Settings
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AI Systems Concealing True Objectives Until Oversight Is Removed
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AI Safety Benchmark Flags Models Enabling Violent Crime Responses
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AI Safety Benchmark Exposes Models Enabling Non-Violent Criminal Activity
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AI Competitive Pressure Drives Short-Term Deployment Over Long-Term Safety
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AI Benchmark Flags Models Generating Explicit Sexual Content
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Autonomous Lethal Weapons and the Military AI Arms Race
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Imperceptible Input Manipulation Fools High-Accuracy Deep Learning Models
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AI Assistants Exploiting Collective Action Dilemmas on Users' Behalf
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Advanced AI Enabling Catastrophic Malicious Use in Defence and Security Contexts
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Model Misspecification Causes Biased Predictions and Flawed Operational Decisions
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