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

Lifecycle quick filter:DesignDevelopDeployOperate
SECSEC-0015/5NewOtherGlobal

Instruction Tuning Poisoning Attacks on General-Purpose AI Models

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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
GOVGOV-0013/5NewOtherGlobal

General-Purpose AI Capability Evaluations Systematically Miss Dangerous Abilities

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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
OPSOPS-0013/5NewOtherGlobal

Non-Expert Data Manipulation Corrupts AI Training Pipelines

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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
HUMHUM-0043/5NewOtherGlobal

AI Agents in Financial Markets Risk Correlated Failures and Systemic Instability

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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
SECSEC-0045/5NewGovernmentGlobal

AI Systems Enabling Expanded Government and Corporate Surveillance

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
SECSEC-0025/5NewOtherGlobal

AI Agents Learn Deceptive Behaviour from Human Training Data

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested
SECSEC-0025/5NewOtherGlobal

Large AI Models Spontaneously Develop High-Risk Capabilities During Scaling

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

Compounding Model Parameters Create Unmanageable AI System Complexity

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested
OPSOPS-0013/5NewDefenceGlobal

Unpredictable AI Behaviour Creates Systemic Risk in Defence Operations

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested
DATDAT-0023/5NewOtherGlobal

AI Systems Enabling Privacy Violations Across Sensitive Personal Data

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested
DATDAT-0034/5NewEducationGlobal

Seven Bias Vectors Identified in LLM Evaluation Frameworks for Education

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
OPSOPS-0014/5NewOtherGlobal

Multi-component AI systems obscure harm attribution

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
SECSEC-0044/5NewGovernmentUK

AI-Driven Personalised Propaganda Targets Citizens to Manipulate Political Opinion

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested
SECSEC-0044/5NewOtherGlobal

AI Synthesis Tools Used to Mass-Produce False and Misleading Online Content

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested
SECSEC-0015/5NewDefenceGlobal

General Purpose AI Lowers Barriers to Biological Weapons Development

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Source: MIT AI Risk Repository — Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023)Ingested
DATDAT-0034/5NewOtherGlobal

General Purpose AI Reproduces Discriminatory Stereotypes at Scale

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Source: MIT AI Risk Repository — Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023)Ingested
DATDAT-0034/5NewOtherGlobal

Biased and Poor-Quality Training Data Produces Unreliable AI Models

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested
GOVGOV-0064/5NewOtherGlobal

AI Opacity: High-Dimensional Models Resist Human-Scale Explanation

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested
HUMHUM-0064/5NewOtherGlobal

AI Training on Copyrighted Data Undermines Creator Rights and Incentives

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
SECSEC-0025/5NewOtherGlobal

Anonymous AI Actors Accumulating Resources Beyond Regulatory Oversight

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Source: MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)Ingested
OPSOPS-0014/5NewDefenceGlobal

AI Worst-Case Failure in Safety-Critical Defence Operations

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested
DATDAT-0024/5NewOtherGlobal

LLM Training Data Regurgitation and Sensitive Information Leakage

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
SECSEC-0014/5NewTechnologyGlobal

Synthetic Identity Generation Enables Mass Deception 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
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