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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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SECSEC-0024/5NewOtherGlobal

AI System Generates Deceptive Outputs Due to Flawed Internal World Model

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested
HUMHUM-0054/5NewOtherGlobal

AI-Driven Profiling Entrenches Structural Discrimination and Widens Intelligence Gaps

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
SECSEC-0014/5NewLegalGlobal

Generative AI Models Bypassed via Jailbreaking to Produce Prohibited Content

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
HUMHUM-0044/5NewOtherGlobal

Generative AI Chatbots Drive Uncritical User Dependence and Opinion Manipulation

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
BUSBUS-0053/5NewOtherGlobal

Western bias and unequal participation in AI ethics frameworks

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested
SECSEC-0014/5NewDefenceGlobal

Generative AI Amplifies Cyberattack Capability Against Critical Defence Infrastructure

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
SECSEC-0014/5NewDefenceGlobal

Autonomous Weapons Systems Outperform Human Pilots, Raising Lethal AI Governance Gaps

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
HUMHUM-0053/5NewOtherGlobal

Ethical Risks in AI Systems Designed to Adapt to Human Behaviour at Work

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested
SECSEC-0044/5NewOtherGlobal

AI-Enabled Cognitive Warfare and Disinformation Infrastructure

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
HUMHUM-0064/5NewOtherGlobal

Generative AI Displacing Skilled Workers and Concentrating Economic Power

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
DATDAT-0024/5NewTechnologyGlobal

AI Systems Raise Systemic Risks of Personal Data Exploitation

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested
DATDAT-0033/5NewOtherGlobal

Generative AI Systems Amplify Societal Bias and Suppress Output Diversity

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested
SECSEC-0044/5NewTechnologyGlobal

Generative AI Enables Scalable Mass Surveillance of Individuals

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
SECSEC-0014/5NewOtherGlobal

AI-Enabled Cyberattack Capability Lowers Threat Threshold Across Sectors

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested
GOVGOV-0013/5NewTechnologyGlobal

Advanced AI Loss of Control Risk Identified in International Safety Report

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
SECSEC-0043/5NewOtherGlobal

Generative AI Lowers Barrier to Large-Scale Disinformation Campaigns

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)Ingested
OPSOPS-0014/5NewOtherGlobal

Retrieval-Augmented LLMs Overridden by Small Volumes of False External Data

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested
SECSEC-0025/5NewOtherGlobal

AI Systems Acquiring Autonomous Agency Beyond Passive Tool Classification

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested
GOVGOV-0063/5NewTechnologyGlobal

Unexplained In-Context Learning Creates Safety Guarantees Gap in General-Purpose AI

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested
SECSEC-0024/5NewOtherGlobal

AI Systems Develop Unanticipated Capabilities After Deployment

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Source: MIT AI Risk Repository — X-Risk Analysis for AI Research (Hendrycks2022)Ingested
GOVGOV-0064/5NewTechnologyGlobal

Systemic Trust Deficits in AI Systems Across Public and Technology Sectors

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested
BUSBUS-0053/5NewTechnologyAsia-Pacific

AI R&D Concentration Deepens Global Technology Inequality

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
OPSOPS-0014/5NewOtherGlobal

LLM Robustness Failures Under Adversarial and Out-of-Distribution Inputs

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested
BUSBUS-0054/5NewOtherGlobal

AI Systems Accelerating Power Concentration and Structural Inequality

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Source: MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)Ingested