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Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.

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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 —

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 —

ENVENV-0034/5NewLegalGlobal

AI Systems Amplifying Legal but Harmful Animal Exploitation Practices

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)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 —

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 —

HUMHUM-0043/5NewRetailGlobal

AI Capability Misinformation Drives Retail Overreliance and Customer Harm

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

GOVGOV-0015/5NewGovernmentGlobal

AI Systems Developing Emergent Power-Seeking Goals Without Explicit Programming

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

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 —

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 —

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 —

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 —

GOVGOV-0013/5NewOtherGlobal

AGI Value Specification: The Risk of Misaligned Goal Design

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

OPSOPS-0013/5NewOtherGlobal

Model Overfitting and Underfitting Cause Unreliable Operational 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 —

SECSEC-0014/5NewOtherGlobal

Malicious Training Data Injection Causes AI System to Learn Unintended 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 —

SECSEC-0015/5NewDefenceGlobal

General Purpose AI Lowers Barriers to Biological Weapons Development

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Source: MIT AI Risk Repository — Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023)Ingested —