Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Intellectual Property Exposure via AI Prompts
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AI Model Generates Hateful, Abusive and Obscene Content
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AI Models Leak Confidential Information from Training and Prompt Data
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Inaccessible Training Data Undermines Model Explainability
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AI Model Outputs Cannot Be Traced to Training Data Sources
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AI Systems Produce Outputs That Cannot Be Adequately Explained
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AI Systems Cannot Reliably Identify the Sources Behind Their Outputs
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Insufficient Training Data Documentation Undermines AI Accountability
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AI Model Decision Bias Systematically Disadvantages Protected Groups
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Foundation Model Risk Scope Shifts When Intended Use Is Redefined
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Unclear AI Ownership Obstructs Legal Accountability
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Insufficient AI System Documentation Obscures Purpose and Risk
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Unresolved Ownership Rights Over AI-Generated Content
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AI Systems Homogenise Cultural Output by Over-Representing Dominant Cultures
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Homogeneous AI Testing Teams Embed Systemic Blind Spots
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Generative AI Enables Student Plagiarism in Education Settings
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Generative AI Training and Operation Drives Excess Carbon and Water Use
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Generative AI Enables Students to Bypass Core Learning Processes
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Workforce Displacement Risk from Foundation Model Automation
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Generative AI Enables Identity Theft and Impersonation Fraud
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Generative AI Systems Undermining Individual Autonomy and Identity Control
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Generative AI Misinformation Erodes Public Trust in Institutions
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Generative AI Used to Manipulate Public Opinion and Inflate Stock Prices
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Generative AI Systems Erode Human Decision-Making Autonomy
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