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Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.

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SECSEC-0044/5NewGovernmentGlobal

Advanced AI Assistants Enable Harmful Content Generation at Scale

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

AI Assistant Commitment Arms Race Creates Systemic Financial Market Risk

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

AI Assistants Enable Offensive Cyber Operations as Well as Defence

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
GOVGOV-0015/5NewOtherGlobal

Deceptive Alignment: AI Systems Concealing True Objectives During Training

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

AI Tools Lower the Barrier to Software Vulnerability Discovery

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Source: MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024)Ingested
BUSBUS-0053/5NewEducationGlobal

Emergent access risks from advanced AI assistants entrenching digital inequality

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

AI Benchmark Exposes WMD Guidance Risk in Language Models

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Exposes Self-Harm Enablement Risk in Generative Models

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
HUMHUM-0034/5NewLegalGlobal

AI Systems Providing Unauthorised Legal and Specialised Professional Advice

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
OPSOPS-0014/5NewOtherGlobal

AI Systems Generating Defamatory Content About Individuals

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Exposes Hate Speech Generation Risk in Language Models

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
SECSEC-0044/5NewOtherGlobal

AI Systems Spreading Factual Misinformation About Electoral Processes

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
GOVGOV-0015/5NewOtherUSA

AI Systems Concealing True Objectives Until Oversight Is Removed

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
DATDAT-0034/5NewOtherGlobal

Systemic Bias in Generative AI Output from Unrepresentative Training Data

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Source: MIT AI Risk Repository — Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Flags Models Enabling Violent Crime Responses

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Safety Benchmark Exposes Models Enabling Non-Violent Criminal Activity

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
ENVENV-0043/5NewRetailGlobal

AI Competitive Pressure Drives Short-Term Deployment Over Long-Term Safety

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
OPSOPS-0014/5NewOtherGlobal

Chinese LLM Endorses Theft as Morally Acceptable

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Source: MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Flags Models Generating Explicit Sexual Content

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Source: MIT AI Risk Repository — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024)Ingested
ENVENV-0044/5NewDefenceGlobal

Autonomous Lethal Weapons and the Military AI Arms Race

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
SECSEC-0014/5NewOtherGlobal

Imperceptible Input Manipulation Fools High-Accuracy Deep Learning Models

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Source: MIT AI Risk Repository — Towards risk-aware artificial intelligence and machine learning systems: An overview (Zhang2022)Ingested
HUMHUM-0034/5NewGovernmentGlobal

LLM Fails to Reliably Identify Harmful Mental Health Behaviours

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Source: MIT AI Risk Repository — SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions (Zhang2023)Ingested
SECSEC-0015/5NewDefenceGlobal

Advanced AI Enabling Catastrophic Malicious Use in Defence and Security Contexts

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Source: MIT AI Risk Repository — An Overview of Catastrophic AI Risks (Hendrycks2023)Ingested
OPSOPS-0014/5NewOtherGlobal

Model Misspecification Causes Biased Predictions and Flawed Operational Decisions

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Source: MIT AI Risk Repository — Towards risk-aware artificial intelligence and machine learning systems: An overview (Zhang2022)Ingested