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 Personalisation Entrenches Bias and Fragments Public Epistemic Commons
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AI Legal Decision Systems Risk Unequal Treatment Without Objective Justification
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Generative AI Systems Deliver Lower Quality Outputs for Non-English Language Users
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Generative AI Used to Create Deepfakes Without Subject Consent
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Government AI System Generates Physically Harmful Language
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Prompt Leaking Exposes Confidential LLM System Instructions
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AI Developers Wilfully Ignore Societal Harms in Pursuit of Profit
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Conversational AI Systems Reinforce Gender and Ethnic Stereotypes
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Systemic Bias and Fairness Failures in Generative AI Models
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Facial Recognition in Finance Raises Unresolved Privacy and Legal Risks
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AI System Incompetence Causing Unjust Financial Decisions
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Generative AI in Education Undermines Academic Integrity and Student Effort
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Generative AI System Causes Physical Property Damage in Transport Operations
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Generative AI Energy and Resource Consumption Poses Environmental Risk
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AI Systems Deployed Without Adequate Pre-Deployment Compliance Assessment
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Emotional Dependency on AI Assistants Undermines User Autonomy and Consent
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AI Decision Delegation Erodes Human Accountability in Complex Tasks
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AI Systems Enable Data Breaches and Discriminatory Outcomes Against Minorities
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Algorithmic Features Exploited to Enable Stalking, Harassment and Image-Based Abuse
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Immature AI Components Introduce Unassessable Risk Across Technology Systems
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Algorithmic Systems Deny Housing, Welfare and Medical Resources Along Racial and Class Lines
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No legal framework exists to assign blame directly to autonomous AI agents
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Algorithmic Pricing and Demonetisation Systems Cause Disproportionate Economic Harm
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Algorithmic Systems Encoding Discriminatory Beliefs About Social Groups
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