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
HUMHUM-0043/5NewOtherGlobal

Companion AI Emotional Language Induces False Responsibility in Users

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0043/5NewRetailGlobal

Generative AI Deployed to Mass-Produce Clickbait and Manipulate Consumer Behaviour

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
DATDAT-0014/5NewOtherGlobal

LLMs trained on internet data risk breaching contextual social norms at deployment

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
SECSEC-0025/5NewDefenceGlobal

AI Model Evaluated as Capable of Supporting Weapons Acquisition and Bioweapon Assembly

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Source: MIT AI Risk Repository — Model Evaluation for Extreme Risks (Shevlane2023)Ingested
HUMHUM-0034/5NewHealthcareGlobal

AI Assistant Discontinuation Leaves Vulnerable Healthcare Users Without Critical Support

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0034/5NewOtherGlobal

AI Assistant Sycophancy Drives Belief Fragmentation and Social Disorientation

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
SECSEC-0025/5NewDefenceGlobal

AI Model Demonstrates Capability to Manipulate Beliefs and Compel Unethical Behaviour

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Source: MIT AI Risk Repository — Model Evaluation for Extreme Risks (Shevlane2023)Ingested
HUMHUM-0044/5NewOtherGlobal

AI Assistants Breeding Uncritical Trust and Misinformation Vulnerability

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
DATDAT-0024/5NewTechnologyGlobal

Language Models Leaking Private and Sensitive Information from Training Data

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Source: MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022)Ingested
SECSEC-0044/5NewTechnologyGlobal

AI Assistants as Authoritarian Surveillance and Censorship Tools

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
HUMHUM-0044/5NewOtherGlobal

AI Assistants Reinforcing User Ideological Bias and Distorting Political Discourse

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

Advanced AI gatekeeping risks excluding marginalised patients from healthcare access

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
OPSOPS-0014/5NewGovernmentGlobal

LLM Moral Reasoning Failures in Government Operational Contexts

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Source: MIT AI Risk Repository — SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)Ingested
TECTEC-0013/5NewOtherGlobal

AI Agents Making Irrevocable Commitments Without Human Override

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
DATDAT-0034/5NewOtherGlobal

LLM Outputs Treat Similar Individuals Differently Based on Group Membership

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0014/5NewOtherGlobal

LLMs Enabling Personalised Social-Engineering and Impersonation Attacks

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
HUMHUM-0044/5NewOtherGlobal

AI Assistants Causing Physical and Psychological Harm to Vulnerable Users

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
SECSEC-0014/5NewLegalGlobal

Reverse Prompt Manipulation Extracts Prohibited Content from LLMs

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested
DATDAT-0034/5NewOtherGlobal

Stereotype Bias Amplification in Large Language Models

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
OPSOPS-0014/5NewOtherGlobal

LLM Inconsistency Across Users, Sessions and Conversations

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0015/5NewLegalGlobal

LLMs Generating Harmful Content Targeting Children and Young People

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
ENVENV-0034/5NewEnergyGlobal

Generative AI Energy Consumption Accelerates Carbon Emissions

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
SECSEC-0014/5NewOtherGlobal

Generative AI Weaponised to Produce Non-Consensual Sexual Deepfakes

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
SECSEC-0014/5NewDefenceGlobal

Lethal Autonomous Weapons and Dual-Use Embodied AI Pose Immediate Physical Harm Risks

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