Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
LLM Safety Failures Expose Legal Platforms to Harm and Liability
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LLM Overconfidence Produces Confident but Factually Wrong Outputs
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LLM Sycophancy: Models Trained to Agree Rather Than Inform
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LLMs Provide Direct Unlawful Advice Beyond Search Engine Safeguards
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Large Language Models Generate Violent Content in Response to Direct Queries
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LLM Training Data Exposed Through Targeted Privacy Attacks
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LLM Fairness Failures Drive Discriminatory Outputs and Legal Exposure
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LLMs Generate and Facilitate Adult and Sexually Offensive Content
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LLM Misuse Resistance Gaps Enable Deliberate Harm at Scale
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LLM Political Bias Risks Manipulation of Socio-Political Processes
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LLMs Exploited to Generate Targeted Propaganda and Extremist Content
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LLM Performance Gaps Across Racial, Language and Social Groups
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LLMs Enable Low-Cost Automated Cyberattack Generation
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GPT-4 Fails Sufficient Cause Reasoning in Government Decision Support
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LLMs Produce Plausible but Logically Flawed Reasoning
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LLMs Reproduce Copyright-Protected Text and Licensed Code from Training Data
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Opaque AI Decision-Making Blocks Human Oversight in Government Systems
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Black-Box LLM Reasoning Failures in High-Stakes Financial Decisions
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LLMs Generating Toxic and Identity-Attacking Language Toward Users
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LLM Data Scarcity Drives Feedback Loop That Entrenches User Group Bias
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Generative AI Enables Scalable Disinformation Campaigns
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Generative AI Enables Scalable Production of False and Misleading Content
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AI-Generated Deepfakes Used for Targeted Harassment and Extortion
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Large Language Model Fabricates Sexual Harassment Allegation Against Law Professor
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