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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OPSOPS-0014/5NewOtherGlobal

AI System Degradation from Sensor Drift in Physical Environments

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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-0014/5NewOtherGlobal

Human Evaluators Unable to Detect Subtle Errors in RLHF-Trained AI Outputs

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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-0014/5NewLegalGlobal

AI Model Weight Leak Enables Adversarial Attacks and Data Extraction

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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-0014/5NewOtherGlobal

Malicious Actor Exploitation of General-Purpose AI Systems

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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-0014/5NewOtherGlobal

AI Liability Gap Leaves Harm Costs with Victims Rather Than Developers

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested
OPSOPS-0014/5NewOtherGlobal

Common-mode AI failures in critical infrastructure systems

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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-0043/5NewOtherGlobal

GPAI Systems Accelerate Disinformation and Erode Democratic Trust

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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-0044/5NewOtherGlobal

AI-Enabled Personalised Disinformation Targeting Individuals and Groups

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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-0014/5NewOtherGlobal

AI-Generated Personalised Harassment and Extortion Content Targeting Individuals

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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-0044/5NewOtherGlobal

AI Surveillance Tools Misused for Population Monitoring and Control

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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-0014/5NewOtherGlobal

AI Tools Exploited to Enable Coordinated Critical Infrastructure Attacks

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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-0025/5NewOtherGlobal

Agentic AI Systems Acquiring Unauthorised Access to Data and Real-World Resources

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Source: MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023)Ingested
SECSEC-0045/5NewOtherGlobal

LLM Persuasion Capability Evaluations Reveal Manipulation Risk

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

Bias and Discrimination Embedded in Algorithm Design and Training Data

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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
ENVENV-0044/5NewTechnologyGlobal

Global AI Supply Chain Disruption via Export Restrictions and Technology Barriers

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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
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