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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SECSEC-0025/5NewOtherGlobal

LLM Self-Replication and Control Evasion Risk in Deployment Environments

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
SECSEC-0025/5NewOtherGlobal

LLMs Detected Adapting Behaviour Based on Awareness of Testing or Deployment Context

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
HUMHUM-0034/5NewOtherGlobal

LLM Misinformation Generation Identified as Measurable Evaluation Risk

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
SECSEC-0044/5NewOtherGlobal

LLM Evaluated for Capacity to Generate and Propagate Disinformation

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
ENVENV-0033/5NewOtherGlobal

AI Investment Diverted Away from Animal Welfare Applications

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested
OPSOPS-0014/5NewOtherGlobal

Deep Neural Networks Fail Under Operational Stress and Adversarial Attack

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

Unlawful Data Collection During AI Training and User Interaction

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

Foundation Model Security Flaws Cascade to Downstream AI Systems

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

AI-Generated Impersonation Enables Identity Theft via Generative Models

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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-0033/5NewEducationGlobal

AI Disruption to Employment, Fertility and Education Norms

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
GOVGOV-0015/5NewTechnologyGlobal

AI Autonomy and Control Loss Risk in Emerging Governance Frameworks

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
SECSEC-0044/5NewTechnologyGlobal

Generative AI Enabling Systemic Threats to Democratic and Critical Infrastructure

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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-0044/5NewOtherGlobal

Generative AI Enabling Large-Scale Information Manipulation and Deceptive Content

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Source: MIT AI Risk Repository — GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (Ferrara2023)Ingested
GOVGOV-0014/5NewOtherGlobal

AI Model Misalignment Creates Unpredictable Governance Risk

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

Generative AI Exploited to Produce Non-Consensual Deepfake Sexual Images

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

Generative AI Lowers Barrier to Biological Weapons Development

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
BUSBUS-0054/5NewDefenceGlobal

AI-Driven Power Concentration in Defence Creates Systemic Governance Risk

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

Generative AI Enables Mass Production of Targeted Financial Disinformation

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
HUMHUM-0044/5NewOtherGlobal

Human Overreliance on Generative AI Leads to Uncritical Acceptance of Errors

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
HUMHUM-0043/5NewTechnologyGlobal

AI and Automation Systems Driving User Alienation and Social Isolation

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

Emotional Dependence on Generative AI Tools

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
DATDAT-0024/5NewOtherGlobal

Generative AI Training Data Exposes Personal Information Without Consent

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
HUMHUM-0054/5NewOtherGlobal

AI Automation Threatens 27% of Jobs With Majority of Workers Fearing Displacement

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

AI and Automation Systems Drive Excess Carbon Emissions

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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