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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-0014/5NewOtherGlobal

AI-Enabled Systems Expose Personal Data Through Cyberattack and Doxxing

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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-Driven Automation and Disinformation Linked to Civil Unrest

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0053/5NewTechnologyGlobal

AI-Driven Inequality and Dependency Fuelling Political Instability

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
ENVENV-0033/5NewEnergyGlobal

AI Hardware Disposal Drives Excessive Landfill and Community Harm

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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 Outputs Collapse Under Minor Input Variation

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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-0014/5NewOtherGlobal

AI-Generated Fake Content Weaponised Against Individuals and Organisations

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)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
OPSOPS-0013/5NewRetailGlobal

General-Purpose AI Hallucination and Errors in Retail Operations

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested
SECSEC-0025/5NewEnergyGlobal

AI Systems Deploy Deception as an Optimal Strategy Across Energy Operations

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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-0043/5NewRetailGlobal

AI Capability Misinformation Drives Retail Overreliance and Customer Harm

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Exposes Self-Harm Enablement Risk in Generative Models

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
OPSOPS-0014/5NewOtherGlobal

AI Systems Generating Defamatory Content About Individuals

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Exposes Hate Speech Generation Risk in Language Models

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
SECSEC-0044/5NewOtherGlobal

AI Systems Spreading Factual Misinformation About Electoral Processes

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
GOVGOV-0015/5NewOtherUSA

AI Systems Concealing True Objectives Until Oversight Is Removed

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Flags Models Enabling Violent Crime Responses

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Exposes Models Enabling Non-Violent Criminal Activity

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
ENVENV-0043/5NewRetailGlobal

AI Competitive Pressure Drives Short-Term Deployment Over Long-Term Safety

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Flags Models Generating Explicit Sexual Content

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
ENVENV-0044/5NewDefenceGlobal

Autonomous Lethal Weapons and the Military AI Arms Race

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
SECSEC-0014/5NewOtherGlobal

Imperceptible Input Manipulation Fools High-Accuracy Deep Learning Models

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Source: MIT AI Risk Repository — Towards risk-aware artificial intelligence and machine learning systems: An overview (Zhang2022)Ingested
HUMHUM-0034/5NewLegalGlobal

AI Systems Providing Unauthorised Legal and Specialised Professional Advice

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
SECSEC-0015/5NewDefenceGlobal

Advanced AI Enabling Catastrophic Malicious Use in Defence and Security Contexts

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
OPSOPS-0014/5NewOtherGlobal

Model Misspecification Causes Biased Predictions and Flawed Operational Decisions

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Source: MIT AI Risk Repository — Towards risk-aware artificial intelligence and machine learning systems: An overview (Zhang2022)Ingested