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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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OPSOPS-0013/5NewOtherGlobal

AI Agents That Reason About Themselves Become Logically Unstable

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested —

SECSEC-0014/5NewDefenceGlobal

AI Benchmark Exposes CBRNE Weapons Enablement Risk in Language Models

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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-0024/5NewFinanceGlobal

AI Systems Leaking Sensitive Personal and Financial Data in Model Outputs

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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-0014/5NewOtherGlobal

AI Benchmark Defines Threshold Where Models Enable Violent Crime 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 —

GOVGOV-0013/5NewOtherUSA

Misaligned AI development risks permanent loss of human control over civilisational outcomes

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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 —

OPSOPS-0015/5NewOtherGlobal

AI Systems Cause Harm When Human Values Are Omitted from Design

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Source: MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023)Ingested —

DATDAT-0024/5NewOtherGlobal

Generative AI Systems Leaking Sensitive Personal and Biometric Data

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested —

SECSEC-0013/5NewOtherGlobal

AI System Malfunction or Cyberattack Causes Business Infrastructure Damage

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

OPSOPS-0013/5NewOtherGlobal

Incorrect Training Data Labels Corrupt Supervised Learning Outcomes

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested —

ENVENV-0033/5NewTechnologyGlobal

AI Infrastructure Expansion Drives Deforestation and Biodiversity Loss

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

OPSOPS-0014/5NewOtherGlobal

AI System Fails When Operational Data Diverges From Test Distribution

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested —

SECSEC-0014/5NewDefenceGlobal

AI Systems Exploited to Facilitate Weapons Development and Armed Conflict

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

GOVGOV-0063/5NewOtherGlobal

Over-Transparency in AI Systems Enables Misuse by End Users

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested —

HUMHUM-0034/5NewOtherGlobal

AI Systems Generating False Defamatory Statements About Living People

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested —

GOVGOV-0013/5NewOtherGlobal

AI Evaluation Frameworks Systematically Underweight Hard-to-Measure Human Values

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Cognitive Superiority Creating Human Decision-Making Displacement Risk

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

OPSOPS-0013/5NewOtherGlobal

Poor Model Design Choices from Unreviewed Developer Decisions

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested —

SECSEC-0015/5NewOtherGlobal

Fine-tuning dataset poisoning enables covert manipulation of AI model behaviour

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

OPSOPS-0014/5NewOtherGlobal

AI Systems Generate False Information Due to Truth Discernment Limits

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

GOVGOV-0063/5NewOtherGlobal

AI Complexity Blocks Causal Accountability in Harm Attribution

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)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 —

GOVGOV-0015/5NewOtherGlobal

Specification Gaming Escalates to Reward Tampering in General-Purpose AI

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

HUMHUM-0033/5NewOtherGlobal

Autonomous AI Systems Eroding Human Oversight Capacity

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

SECSEC-0015/5NewDefenceGlobal

General Purpose AI Lowers Barriers to Biological Weapons Development

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Source: MIT AI Risk Repository — Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023)Ingested —