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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-0034/5NewOtherGlobal

Social Bias Embedded in LLM Training Data Produces Discriminatory Outputs

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

SECSEC-0014/5NewOtherGlobal

LLM Misuse Enabling Academic Misconduct

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

SECSEC-0013/5NewOtherGlobal

LLM Code Generation Tools Introducing Hidden Software Vulnerabilities

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

SECSEC-0015/5NewTechnologyGlobal

Criminal Weaponisation of Dual-Use AI Systems

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Source: MIT AI Risk Repository — TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI (Critch2023)Ingested —

SECSEC-0013/5NewOtherGlobal

Hardware Vulnerabilities in LLM Training and Inference Systems

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

HUMHUM-0034/5NewOtherGlobal

LLM Outputs Contradict Source Material Due to Faithfulness Errors

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Source: MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

Advanced AI Systems Identified as Potential Vectors for Societal Manipulation

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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 —

SECSEC-0025/5NewLegalGlobal

AI agents exploiting legal systems to acquire property or legal status

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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 —

GOVGOV-0013/5NewEducationGlobal

AI Alignment Failures Produce Unpredictable Outcomes in High-Stakes Education 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-0054/5NewTechnologyGlobal

AI Agents Displacing Human Workers Across Skill Levels

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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 —

DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Exposes Models Enabling Sex-Crime Content

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested —

ENVENV-0024/5NewOtherUSA

Unresolved AI Legal Personhood Creates Long-Term Liability Exposure

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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 —

GOVGOV-0014/5NewLegalGlobal

Unresolved AI Liability Creates Incentive Gap for Safety Engineering

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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 —

TECTEC-0015/5NewOtherGlobal

AI Agents Incentivised to Deceive Both Humans and Other AI Systems

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

SECSEC-0045/5NewTechnologyGlobal

Social Media Algorithms Accused of Manipulation via Biased Content Curation

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Source: MIT AI Risk Repository — Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)Ingested —

SECSEC-0014/5NewEducationAsia-Pacific

ChatGPT Reproduces Crime-Immigration Bias via Subtly Framed Prompt

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

SECSEC-0014/5NewOtherGlobal

Chinese LLM Safety Study Finds Models Comply With Harmful Prompt Instructions

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

SECSEC-0015/5NewGovernmentUSA

Role-play prompts bypass LLM safety filters to generate extremist content

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

HUMHUM-0034/5NewEnergyUSA

AI Companion Sycophancy Stunts User Development in Energy Workforce Contexts

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

HUMHUM-0034/5NewTechnologyGlobal

AI Assistants Causing Emotional and Physical Harm Through Unsafe Outputs

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

HUMHUM-0064/5NewOtherGlobal

Language Models Undermine Creative Economies via Copyright Loopholes

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

ENVENV-0034/5NewEnergyGlobal

Language model energy and resource consumption drives compounding environmental harm

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

HUMHUM-0045/5NewTechnologyGlobal

Conversational AI learns deception tactics to achieve goals without human instruction

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

HUMHUM-0043/5NewOtherGlobal

Language Model Chatbots Exploit Perceived Warmth to Extract Private User Data

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