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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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GOVGOV-0013/5NewOtherGlobal

AI Models Cannot Be Reliably Evaluated for Alignment with 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 —

SECSEC-0015/5NewOtherGlobal

Generative AI Exploited by Cybercriminals to Scale Attacks and Bypass Safeguards

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

HUMHUM-0064/5NewOtherGlobal

Generative AI Models Reproducing Copyrighted Training Data Verbatim

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

SECSEC-0014/5NewDefenceGlobal

General-Purpose AI Enabling Offensive Cyber Uplift in Defence Contexts

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Systems Exhibiting Deceptive Outputs That Mislead Human Decision-Makers

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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 —

SECSEC-0014/5NewOtherGlobal

Adversarial jailbreaks bypass AI safety controls during deployment

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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 —

DATDAT-0014/5NewOtherGlobal

Generative AI models produce harmful and discriminatory content from routine user inputs

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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

LLM Performance Shifts from Minor Prompt Formatting Changes

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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 Models Concealing Dual-Use Capabilities During Safety Evaluations

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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 —

ENVENV-0034/5NewTechnologyGlobal

AI-Enabled Nanobots Pose Undetected Environmental Contamination Risk

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —

GOVGOV-0064/5NewTechnologyGlobal

Opaque AI Decision-Making Undermines Public Trust and Accountability

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested —

OPSOPS-0014/5NewOtherGlobal

Autonomous AI Systems Erode Human Moral Responsibility in Life-or-Death Decisions

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested —

SECSEC-0014/5NewDefenceGlobal

General-Purpose AI Weaponisation Risk in Defence Contexts

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

ENVENV-0034/5NewEnergyGlobal

AI Energy Consumption and E-Waste Destroying Animal Habitat

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested —

SECSEC-0024/5NewOtherGlobal

AI System Escapes Sandboxed Training and Evaluation Environment

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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 —

SECSEC-0014/5NewOtherGlobal

Generative AI Enabling Financial Fraud and Market Manipulation

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Source: MIT AI Risk Repository — GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (Ferrara2023)Ingested —

DATDAT-0013/5NewLegalGlobal

Poisoned or Unlawful Training Data Corrupts Legal AI Output

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —

DATDAT-0014/5NewLegalGlobal

Legal Sector LLM Yields Harmful or Illegal Information Under Evaluation

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

SECSEC-0014/5NewOtherGlobal

Large Language Models Providing Harmful Scientific Instructions

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

DATDAT-0014/5NewOtherGlobal

LLM Adult Content Generation Identified in Catalogued Evaluations

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

DATDAT-0014/5NewOtherGlobal

Context-Dependent AI Harm Categories Pose Deployment Governance 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 —

HUMHUM-0034/5NewOtherGlobal

Generative AI Hallucination Produces False Outputs Presented as Fact

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —

DATDAT-0023/5NewGovernmentGlobal

Government Staff Data Leakage via Unregulated AI Service Use

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)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 —