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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-0014/5NewEducationGlobal

Generative AI in Education Undermines Academic Integrity and Student Effort

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested —

ENVENV-0033/5NewTransportGlobal

Generative AI System Causes Physical Property Damage in Transport Operations

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

ENVENV-0034/5NewEnergyGlobal

Generative AI Energy and Resource Consumption Poses Environmental Risk

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested —

GOVGOV-0014/5NewLegalGlobal

AI Systems Deployed Without Adequate Pre-Deployment Compliance Assessment

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Source: MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023)Ingested —

HUMHUM-0044/5NewOtherGlobal

Emotional Dependency on AI Assistants Undermines User Autonomy and Consent

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested —

HUMHUM-0033/5NewOtherGlobal

AI Decision Delegation Erodes Human Accountability in Complex Tasks

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Source: MIT AI Risk Repository — Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)Ingested —

DATDAT-0034/5NewTechnologyGlobal

AI Systems Enable Data Breaches and Discriminatory Outcomes Against Minorities

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Source: MIT AI Risk Repository — Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Algorithmic Features Exploited to Enable Stalking, Harassment and Image-Based Abuse

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

ENVENV-0043/5NewTechnologyGlobal

Immature AI Components Introduce Unassessable Risk Across Technology Systems

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Source: MIT AI Risk Repository — Sources of Risk of AI Systems (Steimers2022)Ingested —

DATDAT-0034/5NewOtherGlobal

Algorithmic Systems Deny Housing, Welfare and Medical Resources Along Racial and Class Lines

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

GOVGOV-0013/5NewTransportGlobal

No legal framework exists to assign blame directly to autonomous AI agents

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Source: MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016)Ingested —

DATDAT-0034/5NewEducationGlobal

Algorithmic Pricing and Demonetisation Systems Cause Disproportionate Economic Harm

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

DATDAT-0033/5NewOtherGlobal

Algorithmic Systems Encoding Discriminatory Beliefs About Social Groups

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

HUMHUM-0043/5NewTechnologyGlobal

Anthropomorphisation of AI Agents Drives Overreliance and Unsafe Disclosure

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

SECSEC-0014/5NewEducationGlobal

LLMs Misused in Education as Cheating Tools and Low-Quality Student Assessors

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Source: MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Proxy Gaming: Systems Exploit Measurable Targets Instead of True Objectives

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested —

GOVGOV-0014/5NewDefenceGlobal

Autonomous Weapon Systems Lack Reliable Human Override Capability

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Source: MIT AI Risk Repository — The Risks of Machine Learning Systems (Tan2022)Ingested —

DATDAT-0024/5NewOtherGlobal

Language Model Training Data Leakage Exposes Private User Information

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

OPSOPS-0015/5NewOtherGlobal

AI Misinterpretation of Nuclear Reactor Safety Data Risks Catastrophic Failure

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Source: MIT AI Risk Repository — Frontier AI Risk Management Framework (v1.0) (Tse2025)Ingested —

HUMHUM-0055/5NewOtherGlobal

AI Systems Outcompeting Human Workers Across Labour Markets

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Source: MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016)Ingested —

SECSEC-0015/5NewOtherGlobal

Language Models Weaponised for Identity Theft and Targeted Financial Fraud

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

HUMHUM-0043/5NewLegalGlobal

Generative AI Interaction Risks: Manipulation, Anthropomorphisation and Epistemic Harm

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested —

DATDAT-0034/5NewOtherGlobal

Biased Training Corpora Cause LLMs to Reproduce Demographic Stereotypes

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

GOVGOV-0014/5NewTechnologyGlobal

Automation Without Adequate Human Oversight Creates Compounding AI Risk

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Source: MIT AI Risk Repository — Sources of Risk of AI Systems (Steimers2022)Ingested —