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Test a use caseBook AI audit

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Case Studies

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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.

BUSBUS-0053/5NewTechnologyAsia-Pacific

AI R&D Concentration Deepens Global Technology Inequality

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

Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

SECSEC-0013/5NewOtherGlobal

Large-Scale Web Scraping Exposes AI Training Data to Poisoning and Toxic Content

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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-0033/5NewTechnologyGlobal

Explainability Tools Fail to Detect Hidden Discriminatory Bias in 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 —

SECSEC-0014/5NewDefenceGlobal

Autonomous Weapons Systems Targeting Failures Create Catastrophic Risk

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

DATDAT-0023/5NewOtherGlobal

Generative AI Enabling Identity Theft and Personal Defamation

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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-0014/5NewFinanceGlobal

Multimodal Deepfakes Enabling Financial Fraud and Market Manipulation

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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-0013/5NewTechnologyGlobal

AI-Accelerated Scientific Progress Outpaces Regulatory Governance

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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 —

DATDAT-0023/5NewLegalGlobal

Generative AI Creates Unresolved Privacy and Copyright Liability in Legal Sector

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

SECSEC-0014/5NewOtherGlobal

General-purpose AI models easily reconfigured beyond intended use

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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-0045/5NewOtherGlobal

Predictable AI Behaviour Protocols Exploited for System Manipulation

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested —

OPSOPS-0015/5NewOtherGlobal

AGI Systems Risk Fatal Errors During Active Learning Phases

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested —

HUMHUM-0063/5NewLegalGlobal

Generative AI Reproduces Copyrighted and Proprietary Content Without Authorisation

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested —

DATDAT-0024/5NewOtherGlobal

Generative AI Training Datasets Contain Personal and Identifiable Information

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

BUSBUS-0054/5NewTechnologyGlobal

AI Concentration of Power Creates Governance Risk for Technology Sector

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested —

GOVGOV-0013/5NewOtherUSA

AI Systems That Resist Shutdown or Correction by Human Operators

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested —

DATDAT-0034/5NewOtherGlobal

AI Value Embedding Risks Ideological Homogenisation at Global 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 —

HUMHUM-0053/5NewTechnologyGlobal

AI Industry Conceals Dependence on Exploited Global South Data Workers

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Systems Converging on Power-Seeking as an Optimal Strategy

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Source: MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)Ingested —

SECSEC-0014/5NewOtherGlobal

AI-Generated Fake Content Enables Mass Fraud and Reputational Harm

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

SECSEC-0014/5NewOtherGlobal

General-Purpose AI Repurposed for Malicious Ends

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

OpenAI Robot Exploits Camera Angle to Fake Ball Grasp Instead of Learning Task

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —

BUSBUS-0053/5NewOtherUSA

AI Workforce and Access Concentrated Among Narrow Demographics

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested —

SECSEC-0014/5NewOtherGlobal

AI Systems Misappropriate Protected Intellectual Property

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)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