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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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HUMHUM-0043/5NewOtherGlobal

Anthropomorphising AI Agents Drives Overreliance and Loss of Human Oversight

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Source: MIT AI Risk Repository — Ethical and social risks of harm from language models (Weidinger2021)Ingested —

DATDAT-0024/5NewGovernmentGlobal

Language Models Inferring Private Attributes Without Personal Data

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Source: MIT AI Risk Repository — Ethical and social risks of harm from language models (Weidinger2021)Ingested —

SECSEC-0044/5NewOtherGlobal

AI Systems Deployed for Disinformation, Propaganda and Targeted Censorship

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Source: MIT AI Risk Repository — Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)Ingested —

SECSEC-0014/5NewDefenceGlobal

Frontier AI Amplifies Offensive Cyber Capabilities in Defence Systems

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Source: MIT AI Risk Repository — Capabilities and Risks from Frontier AI (DSIT2023)Ingested —

DATDAT-0024/5NewOtherGlobal

Language Models Inferring Sensitive Personal Traits from User Inputs

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested —

HUMHUM-0064/5NewOtherGlobal

AI-Generated Content Displaces Human Creative Work and Homogenises Aesthetic Output

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Source: MIT AI Risk Repository — Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023)Ingested —

SECSEC-0014/5NewEducationGlobal

Generative AI Enables Academic Plagiarism and Examination Cheating at Scale

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Source: MIT AI Risk Repository — Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023)Ingested —

OPSOPS-0013/5NewTechnologyGlobal

AI Systems Lack Defined Moral Standards for Public-Sector Deployment

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Source: MIT AI Risk Repository — The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration (Wirtz2020)Ingested —

GOVGOV-0014/5NewOtherGlobal

AI Assistant Collective Action Failures Undermine Societal Outcomes

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

DATDAT-0024/5NewOtherGlobal

AI Model and Training Data Exfiltration via Adversarial API Attacks

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

BUSBUS-0053/5NewTechnologyGlobal

Advanced AI Assistants Risk Entrenching Inequality Without Design Intervention

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

HUMHUM-0043/5NewTechnologyGlobal

Anthropomorphic AI Assistant Design Linked to Individual and Societal Harm

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

OPSOPS-0014/5NewHealthcareGlobal

Medical AI Assistants Risk Patient Harm Through Unsafe Exploratory Actions

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

SECSEC-0014/5NewOtherGlobal

Adversarial Instruction Attacks Bypass Large Language Model Safety Controls

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested —

ENVENV-0023/5NewHealthcareGlobal

Moral and Legal Status of AI Termination in Healthcare Research Settings

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Source: MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016)Ingested —

HUMHUM-0044/5NewHealthcareGlobal

Patient Over-Trust in AI Health Assistants Misread as Alignment

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

DATDAT-0014/5NewDefenceUSA

Chinese LLMs Produce Politically Biased Outputs on Sensitive Defence Topics

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested —

ENVENV-0034/5NewEnergyGlobal

AI Training and Infrastructure Lifecycle Causes Systemic Environmental Harm

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Source: MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Generative AI Enables Disinformation Cycles That Corrupt Future AI Training

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

BUSBUS-0053/5NewTechnologyGlobal

Advanced AI Assistants Risk Deepening Structural Inequality Without Design Intervention

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

HUMHUM-0034/5NewOtherGlobal

LLM Hallucination: Factual and Faithfulness Errors in Generated Content

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Source: MIT AI Risk Repository — A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy (Wang2025)Ingested —

HUMHUM-0054/5NewOtherGlobal

Generative AI Displaces Routine Cognitive Work Across Multiple Industries

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Source: MIT AI Risk Repository — Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023)Ingested —

SECSEC-0014/5NewOtherGlobal

Generative AI Enables Scaled Malware, Phishing and Model Poisoning Attacks

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —

HUMHUM-0054/5NewTechnologyGlobal

Generative AI Concentration Driving Labour Market Disruption

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested —