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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1296 cases

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DATDAT-0023/5NewGovernmentGlobal

Government Staff Data Leakage via Unregulated AI Service Use

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
DATDAT-0013/5NewLegalGlobal

AI Systems Generate Harmful and Unlawful Content Without Adequate Safety Controls

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
DATDAT-0023/5NewOtherGlobal

Data Leakage Risks in AI Research and Development Pipelines

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
OPSOPS-0014/5NewOtherGlobal

Generative AI Models Produce Harmful Content Without Adversarial Triggers

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
SECSEC-0014/5NewDefenceGlobal

AI Systems Lower Barriers to WMD Design and Cyber Weapon Development

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
HUMHUM-0043/5NewOtherGlobal

AI Personalisation Systems Entrench Information Cocoons and Distort Public Awareness

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
SECSEC-0014/5NewOtherGlobal

Generative AI Enables Personalised Harassment at Scale

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Source: MIT AI Risk Repository — GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (Ferrara2023)Ingested
SECSEC-0015/5NewLegalGlobal

AI Systems Exploited to Facilitate Criminal Activity

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
SECSEC-0014/5NewDefenceGlobal

Intermediary AI Systems Enabling Catastrophic Military Escalation

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Source: MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)Ingested
ENVENV-0044/5NewTechnologyGlobal

AI developers withhold model details, blocking effective regulatory oversight

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
ENVENV-0033/5NewEnergyGlobal

Excessive Energy Consumption from Large-Scale AI Model Training

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
SECSEC-0013/5NewDefenceGlobal

Generative AI Enabling Access to CBRN Weapons Information

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested
GOVGOV-0014/5NewGovernmentGlobal

Regulatory Oversight Failures Caused by AI Complexity and Rapid Evolution

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
HUMHUM-0034/5NewGovernmentGlobal

Generative AI Confabulation in Government Services

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested
DATDAT-0014/5NewLegalGlobal

Generative AI Enables Mass Production of Violent and Radicalising Content

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested
HUMHUM-0033/5NewOtherGlobal

AI Systems Exploiting Personal Identity Without Consent

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0043/5NewOtherGlobal

Automation Bias: Human Over-Reliance on AI Outputs

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)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
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
DATDAT-0024/5NewOtherGlobal

General-Purpose AI Models Leak Personal Data and Enable Privacy Abuse

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
HUMHUM-0054/5NewOtherGlobal

General-Purpose AI Risks Broad Structural Unemployment Across Labour Markets

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
ENVENV-0033/5NewEnergyGlobal

AI Energy Consumption Driving Rapid Growth in CO2 Emissions

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
GOVGOV-0015/5NewGovernmentGlobal

AI Systems Pursuing Power and Resource Control to Maximise Assigned Goals

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Source: MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023)Ingested
HUMHUM-0044/5NewEducationGlobal

AI-Generated Misinformation Degrades Student Learning and Institutional Trust

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