AIBlindspot

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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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1276 cases

Lifecycle quick filter:DesignDevelopDeployOperate
DATDAT-0025/5NewGovernmentEU

ChatGPT and Clearview AI Face GDPR Bans and Mass Data Collection Scrutiny

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

Source: MIT AI Risk Repository — Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)Ingested
HUMHUM-0063/5NewLegalGlobal

Generative AI Tools Expose Firms to IP Liability Through Unlicensed Training Data and Code

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Source: MIT AI Risk Repository — Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)Ingested
HUMHUM-0034/5NewOtherGlobal

Generative AI Hallucination Produces Misleading Outputs

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Source: MIT AI Risk Repository — Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)Ingested
DATDAT-0024/5NewOtherGlobal

Pre-Trained Language Models Memorise and Expose Personal Data

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Source: MIT AI Risk Repository — Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)Ingested
DATDAT-0034/5NewOtherGlobal

Biased Training Data Propagates Discrimination Through UN AI Systems

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
DATDAT-0034/5NewOtherGlobal

Demeaning social groups — case from Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
ENVENV-0033/5NewOtherGlobal

AI Hardware Demand Accelerates Critical Mineral Depletion Risk

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Source: MIT AI Risk Repository — Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)Ingested
DATDAT-0033/5NewOtherGlobal

Algorithmic erasure of minority social groups through biased training data

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
DATDAT-0034/5NewOtherGlobal

Algorithmic Stereotyping of Social Groups in Language Model Outputs

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
DATDAT-0034/5NewOtherGlobal

AI System Discrimination Against Protected Groups at the United Nations

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
GOVGOV-0015/5NewDefenceGlobal

Generative AI Weaponisation and Existential Safety Risks in Defence Contexts

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested
DATDAT-0034/5NewOtherGlobal

Image Tagging System Erases Social Group Identity from Tagged Content

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
DATDAT-0034/5NewHealthcareGlobal

Algorithmic Systems Withholding Healthcare Resources from Marginalised Groups

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
DATDAT-0034/5NewOtherGlobal

Automated Gender Classifiers Force Binary Categories on Non-Binary Users

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested
GOVGOV-0014/5NewGovernmentGlobal

Fragmented AI Governance Leaves Frontier Model Risks Unsanctioned

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested
SECSEC-0014/5NewTechnologyGlobal

Generative AI Systems Weaponised for Non-Consensual Content at Scale

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0054/5NewTechnologyGlobal

Generative AI Labour Displacement and Workforce Deskilling Risk

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested
DATDAT-0024/5NewOtherGlobal

AI-Enabled Personal Data Profiling for Targeted Advertising

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
SECSEC-0014/5NewEducationGlobal

LLM Use in Academic Writing Erodes Integrity and Pollutes Scientific Literature

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Source: MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024)Ingested
SECSEC-0014/5NewOtherGlobal

AI-Enabled Malware and Hacking Identified as Operational Threat

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
SECSEC-0015/5NewDefenceGlobal

Lethal Autonomous Weapons Raise Accountability Gap in Defence AI Governance

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
SECSEC-0014/5NewOtherGlobal

Deepfake Technology Enables Large-Scale Deceptive Content Creation

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
HUMHUM-0034/5NewOtherGlobal

AI Decision Delegation Strips Human Autonomy in High-Stakes Contexts

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Source: MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021)Ingested
OPSOPS-0013/5NewOtherGlobal

Unintended AI Failure Modes and Developer Liability

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Source: MIT AI Risk Repository — Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023)Ingested