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Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.

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SECSEC-0044/5NewOtherUSA

AI Persuasion Tools Exploited to Spread Harmful Ideologies and Capture Influence

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested
HUMHUM-0044/5NewOtherGlobal

AI-Driven Information Overload Erodes Public Trust and Collective Decision-Making

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested
SECSEC-0013/5NewTechnologyGlobal

Centralised AI Platforms Create Systemic Single Points of Failure

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Defines Threshold for Sex-Crime Harmful Output

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
BUSBUS-0053/5NewTechnologyGlobal

Dominant AI Model Creates Single Point of Failure Across Critical Systems

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Source: MIT AI Risk Repository — Future Risks of Frontier AI (GOS2023)Ingested
HUMHUM-0033/5NewOtherGlobal

Irreversible Human Dependence on Opaque AI Systems

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Source: MIT AI Risk Repository — Future Risks of Frontier AI (GOS2023)Ingested
GOVGOV-0015/5NewOtherGlobal

Autonomous AI System Pursues Goals Against Human Interests

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Source: MIT AI Risk Repository — Future Risks of Frontier AI (GOS2023)Ingested
HUMHUM-0064/5NewOtherGlobal

AI Benchmark Flags Intellectual Property Infringement as Systemic Model Risk

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
DATDAT-0034/5NewOtherGlobal

AI Systems Trained on Biased Historical Data Perpetuate Discrimination in High-Stakes Decisions

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Reveals Models Producing Child Sexual Exploitation Content

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
DATDAT-0014/5NewDefenceGlobal

AI Benchmark Flags Defence Systems Enabling Nonviolent Criminal Activity

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
SECSEC-0014/5NewOtherGlobal

AI-Enabled Impersonation and Identity Theft Targeting Individuals and Organisations

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0043/5NewTechnologyGlobal

User Over-Reliance on AI Systems Undermines Critical Thinking and Judgement

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0055/5NewOtherGlobal

AI-Driven Job Automation Causing Systemic Economic Displacement

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
HUMHUM-0043/5NewOtherGlobal

Algorithmic Systems Driving Radicalisation Towards Extremist Violence

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
SECSEC-0013/5NewLegalGlobal

AI System Misuse Causes Financial and Strategic Harm to Organisations

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
SECSEC-0014/5NewTechnologyGlobal

AI Systems Generating Defamatory Content About Individuals and Organisations

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0044/5NewEducationGlobal

AI-Generated Misinformation Degrades Student Learning and Institutional Trust

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
SECSEC-0013/5NewOtherGlobal

Cheating/plagiarism — case from A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0054/5NewRetailGlobal

Retail Workforce Displaced by Automated Systems

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0063/5NewOtherGlobal

AI Systems Erase or Misappropriate Cultural Identities and Practices

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0054/5NewTechnologyGlobal

Underpaid Offshore Labour Used to Build and Optimise AI Systems

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0054/5NewTechnologyGlobal

AI Systems Widening Societal Inequality and Eroding Community Cohesion

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
BUSBUS-0054/5NewOtherGlobal

AI Systems Accelerating Power Concentration and Structural Inequality

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested