AIBlindspot

Public Database

Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.

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Showing 1120 of 1296 cases

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HUMHUM-0044/5NewGovernmentGlobal

AI Personalisation Entrenches Bias and Fragments Public Epistemic Commons

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
DATDAT-0034/5NewLegalGlobal

AI Legal Decision Systems Risk Unequal Treatment Without Objective Justification

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Source: MIT AI Risk Repository — Sources of Risk of AI Systems (Steimers2022)Ingested
DATDAT-0034/5NewOtherGlobal

Generative AI Systems Deliver Lower Quality Outputs for Non-English Language Users

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Source: MIT AI Risk Repository — Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023)Ingested
SECSEC-0014/5NewOtherGlobal

Generative AI Used to Create Deepfakes Without Subject Consent

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
DATDAT-0014/5NewGovernmentGlobal

Government AI System Generates Physically Harmful Language

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Prompt Leaking Exposes Confidential LLM System Instructions

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested
ENVENV-0043/5NewTechnologyGlobal

AI Developers Wilfully Ignore Societal Harms in Pursuit of Profit

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Source: MIT AI Risk Repository — TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI (Critch2023)Ingested
DATDAT-0034/5NewOtherGlobal

Conversational AI Systems Reinforce Gender and Ethnic Stereotypes

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Source: MIT AI Risk Repository — Ethical and social risks of harm from language models (Weidinger2021)Ingested
DATDAT-0034/5NewTechnologyGlobal

Systemic Bias and Fairness Failures in Generative AI Models

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested
DATDAT-0024/5NewFinanceGlobal

Facial Recognition in Finance Raises Unresolved Privacy and Legal Risks

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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
OPSOPS-0015/5NewFinanceGlobal

AI System Incompetence Causing Unjust Financial Decisions

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
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

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:

State-Sponsored AI Operations
6
AI-Enabled Disinformation
5
Adversarial Attacks on AI
0
Autonomous Weapon Incidents
1
AI-Assisted Cyber Attacks
5
Dual-Use AI Misuse
3