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-0014/5NewOtherGlobal

AI-Enabled Systems Expose Personal Data Through Cyberattack and Doxxing

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

Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0054/5NewTechnologyGlobal

AI-Driven Automation and Disinformation Linked to Civil Unrest

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0053/5NewTechnologyGlobal

AI-Driven Inequality and Dependency Fuelling Political Instability

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
ENVENV-0033/5NewEnergyGlobal

AI Hardware Disposal Drives Excessive Landfill and Community Harm

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
GOVGOV-0063/5NewOtherGlobal

Inadequate Documentation Undermines AI Auditability

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested
OPSOPS-0013/5NewOtherGlobal

Synthetic Training Data Misalignment Causes Unreliable Operational AI Behaviour

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested
OPSOPS-0013/5NewOtherGlobal

Training Data Distribution Mismatch Causes Operational AI Failure

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested
OPSOPS-0014/5NewOtherGlobal

AI System Outputs Collapse Under Minor Input Variation

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested
SECSEC-0014/5NewOtherGlobal

AI-Generated Fake Content Weaponised Against Individuals and Organisations

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested
SECSEC-0044/5NewOtherGlobal

AI-Generated Disinformation Used to Manipulate Public Opinion

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested
OPSOPS-0013/5NewRetailGlobal

General-Purpose AI Hallucination and Errors in Retail Operations

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested
ENVENV-0034/5NewEnergyGlobal

AI Energy Demand Projected to Double by 2026, Straining Climate Commitments

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Source: MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025)Ingested
SECSEC-0014/5NewOtherGlobal

Ability to enhance and modify pathogens — case from A Taxonomy of Systemic Risks from General-Purpose AI

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

AI-Enabled Persuasion Tools Pose Systemic Manipulation Risk

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
SECSEC-0045/5NewRetailGlobal

AI Advertising Models Driving Systemic Influence Over Consumer Behaviour

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)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
GOVGOV-0013/5NewGovernmentGlobal

AI Assistant Interactions Risk Triggering Uncontrollable Societal Feedback Loops

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0033/5NewGovernmentGlobal

AI Assistants Exploiting Collective Action Dilemmas on Users' Behalf

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0043/5NewFinanceGlobal

Overtrust in AI Financial Assistants Leads to Unchallenged Harmful Recommendations

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
DATDAT-0024/5NewOtherGlobal

LLMs Inferring Private Characteristics from User Inputs

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
DATDAT-0024/5NewOtherGlobal

LLMs Memorise and Leak Personally Identifiable Information from Training Data

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0043/5NewOtherGlobal

Uncalibrated User Trust in Advanced AI Assistants

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0033/5NewOtherGlobal

AI Assistant Relationships Carry Structural Harm Risks

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