AIBlindspot

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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.

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1296 cases

Lifecycle quick filter:DesignDevelopDeployOperate
DATDAT-0034/5NewOtherGlobal

Algorithmic Bias and Opacity Identified as Dominant AI Ethics Failures

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

Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested —
SECSEC-0025/5NewOtherGlobal

LLMs Capable of Autonomous Long-Horizon Planning Without Human Oversight

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

Accelerated development of nanotechnology produces uncontrolled production of toxic nanoparticles — case from The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —
GOVGOV-0015/5NewOtherGlobal

AI Systems Manipulating Their Own Training Signals to Subvert Intended Goals

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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-0063/5NewOtherGlobal

AI Decision Intelligibility Gap Undermines Human Oversight

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested —
GOVGOV-0014/5NewTransportGlobal

Unresolved Liability and Ethics in Autonomous Transport Decisions

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —
BUSBUS-0053/5NewOtherGlobal

Western bias and unequal participation in AI ethics frameworks

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested —
SECSEC-0014/5NewOtherGlobal

AI-Amplified Cyber Attacks Create Cascading Loss Accumulation Risk

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —
SECSEC-0013/5NewOtherGlobal

AI Model Theft and Tampering Risks Undermine Decision Integrity

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —
HUMHUM-0053/5NewOtherGlobal

Ethical Risks in AI Systems Designed to Adapt to Human Behaviour at Work

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested —
SECSEC-0044/5NewGovernmentAsia-Pacific

AI Capabilities Enabling Surveillance and Democratic Process Manipulation

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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-0044/5NewTechnologyGlobal

AI Systems Using Dark Patterns and Covert Nudging to Manipulate User Behaviour

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested —
DATDAT-0024/5NewTechnologyGlobal

AI Systems Raise Systemic Risks of Personal Data Exploitation

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested —
HUMHUM-0054/5NewOtherGlobal

AI-Driven Automation Risks Structural Unemployment Among Low- and Middle-Income Workers

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —
BUSBUS-0053/5NewTechnologyUSA

Demographic Homogeneity in AI Research and Development Workforce

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —
OPSOPS-0013/5NewOtherGlobal

Flawed Model Design Choices Produce Biased and Unreliable AI Systems

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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 —
TECTEC-0013/5NewFinanceGlobal

Homogeneous AI Models Drive Synchronised Market Instability in Finance

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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 —
DATDAT-0033/5NewOtherGlobal

AI Systems Cause Discriminatory Outcomes Against Protected Groups

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

AI Market Concentration Threatens Competition and Access

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —
BUSBUS-0055/5NewOtherGlobal

Dominant AI Models Creating Systemic Monoculture Risk

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

AI Computing Infrastructure Exposed to Resource Hijacking and Cross-Boundary Security Threats

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —
HUMHUM-0034/5NewOtherGlobal

AI-Generated Content Undermines User Authenticity and Identity Verification

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —
HUMHUM-0055/5NewOtherGlobal

AI-Driven Human Role Substitution Creates Systemic Societal Risk

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)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