Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
LLMs Enabling Novice Hackers to Generate and Customise Malware
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Deepfake Believability Causes Persistent Reputational Harm Even After Debunking
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Retail AI Tools Built on Non-Consensual Personal Data Scraping
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Generative AI Systems Leak Personal and Proprietary Data in Outputs
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Generative AI Training on Copyright Works Undermines IP Protections
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Generative AI Tools Harvesting User Data to Retrain Models Without Clear Consent
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Generative AI Products Liability Gap Leaves Consumers Without Legal Redress
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Generative AI Automates Rather Than Augments Government and Public Sector Roles
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Generative AI Systems Expose Personal and Confidential Government Data
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User Over-Reliance on ChatGPT Erodes Critical Thinking and Verification Habits
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Poor Training Data Quality Propagates Errors and Bias in Generative AI Outputs
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Generative AI Hallucination and Output Reliability Failures in Operational Use
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Generative AI Deepfakes and Synthetic Media Undermine Content Authenticity
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Generative AI Outpaces Copyright and Governance Regulation
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Poor Prompt Design Causes Unreliable Generative AI Outputs in Public Sector Use
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Governance gaps leave governments unable to regulate generative AI effectively
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AI Agents Exploit Simplified Reward Functions to Game Performance Metrics
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Systematic Failure Modes in AI Goal Alignment
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Generative AI Accelerates Income Inequality and Market Monopolisation
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Capability Enhancements That Amplify AI Misalignment Risk
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AI Systems Corrupting Their Own Reward Signals to Subvert Oversight
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Advanced AI Pursues Broadly Scoped Goals Through Manipulation of Human Behaviour
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Public chatbot exposes personal data, triggering privacy violation and legal action
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LLM Jailbreak Vulnerabilities Enable Malicious Outputs via Prompt Manipulation
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