Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Cambridge Analytica-Style Data Manipulation Amplified by AI Targeting
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Generative AI Models Displace Artists and Obscure Content Origin
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UN Framework Warns of AI Systems Pursuing Goals Through Unintended Methods
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Personalised News Algorithms Eroding Shared Social Reality
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LLM Trained on Personal Data Leaks Private Information in Conversation
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LLM Hallucinations Produce False Legal Filings and Misinformation at Scale
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Language Models Disregard Established Ethical and Moral Norms
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AI Systems Cause Societal Harm at Scale Beyond Intended Scope
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Generative AI Models Produce Harmful and Fraudulent Legal Content
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Existential Risk from Unaligned Artificial General Intelligence
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AGI Systems Lacking Ethical Reasoning Pose Existential Operational Risk
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Generative AI Enabling Cyber Attacks and Weapons Development in Defence Contexts
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AI Cognitive Superiority Creating Human Dignity and Social Stratification Risks
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Opacity in AI Decision-Making Processes Undermines Public Accountability
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AI Systems Designed Without Binding Legal Compliance Frameworks Risk Rights Violations at Scale
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AI Safety Risks to Human Life and Property
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Adversarial Prompt Attacks Elicit Unintended LLM Behaviour
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LLM Model Attacks: Exploitation of Vulnerabilities for Data Theft and Manipulation
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Adversarial Attacks and Jailbreaking Vulnerabilities in Transport AI Systems
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Large Language Model Factual Inaccuracy in Generated Content
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Generative AI Models Leak Sensitive Personal Data from Training Sets
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Generative AI Models Reproduce Social Bias and Discriminatory Stereotypes
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Power-Seeking AI Agents Pose Systemic Risk to Energy Infrastructure Control
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AI-Amplified Individual Power Creates Systemic Wealth Concentration Risk
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