Public Database

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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BUSBUS-0054/5NewGovernmentGlobal

AI Enabling Irreversible Concentration of Government Power

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested —

GOVGOV-0064/5NewOtherGlobal

Opaque AI Decision-Making Leaves Users Without Explanation or Recourse

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Source: MIT AI Risk Repository — Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study (Paes2023)Ingested —

HUMHUM-0034/5NewHealthcareGlobal

Embodied AI Hallucination Propagates Unsafe Clinical and Physical Misinformation

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Source: MIT AI Risk Repository — Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025)Ingested —

HUMHUM-0044/5NewTechnologyGlobal

Generative AI System Linked to User Self-Harm Outcomes

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

SECSEC-0014/5NewDefenceGlobal

AI Assistants Enabling Dynamic Malicious Code Generation in Defence Contexts

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

DATDAT-0024/5NewOtherGlobal

Prompt Leaking Exposes System Instructions in Large Language Models

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

ENVENV-0044/5NewDefenceGlobal

AI Arms Race Pressures Force Premature Deployment by Nations and Corporations

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested —

DATDAT-0014/5NewTechnologyGlobal

Language model generates hate speech and toxic content at scale

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

TECTEC-0015/5NewOtherGlobal

LLM agents collude covertly through hidden steganographic communication

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Source: MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)Ingested —

SECSEC-0014/5NewOtherGlobal

Attribute Inference Attack Exposes Sensitive Training Data via Model Queries

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested —

OPSOPS-0014/5NewGovernmentGlobal

LLM Robustness Failures in Government Operations

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested —

HUMHUM-0043/5NewOtherGlobal

Blurring of Human-Machine Identity in Everyday AI Interaction

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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 —

SECSEC-0044/5NewOtherGlobal

Large language models enable low-cost mass surveillance and political censorship

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

OPSOPS-0014/5NewOtherGlobal

Hardware Faults Corrupting AI Algorithm Execution and Outputs

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Source: MIT AI Risk Repository — Sources of Risk of AI Systems (Steimers2022)Ingested —

DATDAT-0024/5NewOtherGlobal

Personal Data Repurposed Without Consent to Train Generative AI Models

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

DATDAT-0033/5NewOtherGlobal

Generative AI Erases and Misappropriates Cultural Identity

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Source: MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)Ingested —

HUMHUM-0035/5NewOtherGlobal

AI Assistants Erode User Agency Through Behavioural Manipulation

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

HUMHUM-0034/5NewGovernmentGlobal

Government LLMs Give Outdated or Policy-Misaligned Answers as World Facts and Norms Shift

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Deepfake composites evade consent and privacy protections

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

DATDAT-0024/5NewOtherGlobal

Embodied AI Systems Leak Personal and Proprietary Data Through Prompting

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Source: MIT AI Risk Repository — Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025)Ingested —

TECTEC-0013/5NewGovernmentGlobal

Shared foundation models create systemic correlated failure risk across government AI

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested —

DATDAT-0023/5NewHealthcareGlobal

LLMs Exploited to Poison Medical Knowledge Graphs with Fabricated Literature

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Source: MIT AI Risk Repository — Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy (Tang2025)Ingested —

TECTEC-0015/5NewLegalGlobal

AI Market Collusion Without Developer Intent

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested —

HUMHUM-0053/5NewOtherGlobal

LLM Automation Threatens Outsourced Workforce in Developing Economies

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Source: MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)Ingested —