Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Generative AI Deployed to Spread Targeted Disinformation
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AI Model Deployed Outside Its Intended Purpose
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Confidential Data Leaked via Model Prompt Submission
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AI Model Delivers Insufficient Accuracy for Its Intended Task
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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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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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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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