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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Generative AI Systems Leak Personal and Proprietary Data in Outputs
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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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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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Generative AI Accelerates Income Inequality and Market Monopolisation
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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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Biased AI Deployment Widens Social Inequality at Scale
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Image Search Algorithm Reinforces Racial Stereotypes Causing Cultural Harm
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Algorithmic Systems Used as Political Weapons and Disinformation Tools
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AI-Enabled Cyber Exploitation and Disinformation at Accelerated Scale
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LLM Knowledge Boundary Gaps Drive Hallucination Risk Across Deployments
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AI Autonomous Weapons Deployment in Active Combat Zones
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Autonomous weapons misclassify civilians due to opaque targeting algorithms
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