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

DATDAT-0014/5NewDefenceUSA

Chinese LLMs Produce Politically Biased Outputs on Sensitive Defence Topics

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested —

ENVENV-0034/5NewEnergyGlobal

AI Training and Infrastructure Lifecycle Causes Systemic Environmental Harm

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

SECSEC-0014/5NewTechnologyGlobal

Generative AI Enables Disinformation Cycles That Corrupt Future AI Training

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

BUSBUS-0053/5NewTechnologyGlobal

Advanced AI Assistants Risk Deepening Structural Inequality Without Design Intervention

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

HUMHUM-0034/5NewOtherGlobal

LLM Hallucination: Factual and Faithfulness Errors in Generated Content

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Source: MIT AI Risk Repository — A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy (Wang2025)Ingested —

HUMHUM-0054/5NewOtherGlobal

Generative AI Displaces Routine Cognitive Work Across Multiple Industries

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Source: MIT AI Risk Repository — Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023)Ingested —

SECSEC-0014/5NewOtherGlobal

Generative AI Enables Scaled Malware, Phishing and Model Poisoning Attacks

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

DATDAT-0024/5NewRetailGlobal

Personal Data Scraped Without Consent to Train Generative AI Models

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

HUMHUM-0054/5NewTechnologyGlobal

Generative AI Concentration Driving Labour Market Disruption

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

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 —

DATDAT-0023/5NewOtherGlobal

Anonymised Data Reidentification Through Feature Correlation

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)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 —

SECSEC-0014/5NewOtherGlobal

LLM Pre-processing Pipeline Vulnerabilities Exploited via Computer Vision Tools

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)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-0023/5NewEducationGlobal

Private Personal Data Ingested into LLM Training Corpora

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

GOVGOV-0013/5NewOtherGlobal

Generative AI Alignment Failures Place Public Sector Governance at Risk

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

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