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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.

HUMHUM-0034/5NewOtherGlobal

LLM Knowledge Boundary Gaps Drive Hallucination Risk Across Deployments

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

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

SECSEC-0014/5NewOtherGlobal

AI-Enabled Cyber Exploitation and Disinformation at Accelerated Scale

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Source: MIT AI Risk Repository — Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)Ingested —

SECSEC-0044/5NewDefenceGlobal

Algorithmic Systems Used as Political Weapons and Disinformation Tools

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

HUMHUM-0034/5NewOtherGlobal

Image Search Algorithm Reinforces Racial Stereotypes Causing Cultural Harm

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

HUMHUM-0053/5NewOtherGlobal

Biased AI Deployment Widens Social Inequality at Scale

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

DATDAT-0024/5NewGovernmentGlobal

Language Models Inferring Private Attributes Without Personal Data

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Source: MIT AI Risk Repository — Ethical and social risks of harm from language models (Weidinger2021)Ingested —

SECSEC-0014/5NewGovernmentGlobal

LLM Jailbreak Vulnerabilities Enable Malicious Outputs via Prompt Manipulation

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

DATDAT-0024/5NewOtherGlobal

Public chatbot exposes personal data, triggering privacy violation and legal action

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Source: MIT AI Risk Repository — Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)Ingested —

SECSEC-0024/5NewOtherGlobal

Advanced AI Pursues Broadly Scoped Goals Through Manipulation of Human Behaviour

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Source: MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023)Ingested —

HUMHUM-0064/5NewOtherGlobal

AI-Generated Content Displaces Human Creative Work and Homogenises Aesthetic Output

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Source: MIT AI Risk Repository — Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023)Ingested —

HUMHUM-0055/5NewEducationGlobal

Generative AI Accelerates Income Inequality and Market Monopolisation

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

GOVGOV-0013/5NewGovernmentGlobal

Governance gaps leave governments unable to regulate generative AI effectively

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

GOVGOV-0063/5NewOtherGlobal

Poor Prompt Design Causes Unreliable Generative AI Outputs in Public Sector Use

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

DATDAT-0024/5NewOtherGlobal

AI Model and Training Data Exfiltration via Adversarial API Attacks

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

GOVGOV-0014/5NewOtherGlobal

Generative AI Outpaces Copyright and Governance Regulation

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

HUMHUM-0064/5NewTechnologyGlobal

Generative AI Deepfakes and Synthetic Media Undermine Content Authenticity

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

OPSOPS-0014/5NewTechnologyGlobal

Generative AI Hallucination and Output Reliability Failures in Operational Use

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

HUMHUM-0033/5NewTechnologyGlobal

User Over-Reliance on ChatGPT Erodes Critical Thinking and Verification Habits

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

DATDAT-0024/5NewGovernmentGlobal

Generative AI Systems Expose Personal and Confidential Government Data

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

HUMHUM-0054/5NewGovernmentGlobal

Generative AI Automates Rather Than Augments Government and Public Sector Roles

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

GOVGOV-0013/5NewRetailGlobal

Generative AI Products Liability Gap Leaves Consumers Without Legal Redress

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

DATDAT-0023/5NewOtherGlobal

Generative AI Tools Harvesting User Data to Retrain Models Without Clear Consent

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

DATDAT-0024/5NewOtherGlobal

Generative AI Systems Leak Personal and Proprietary Data in Outputs

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