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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-0014/5NewOtherGlobal

Multimodal AI Models Vulnerable to Adversarial Jailbreak Attacks

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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 —

GOVGOV-0013/5NewOtherGlobal

Unpredictable AI Development Trajectory Undermines Governance Planning

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

GOVGOV-0014/5NewEducationGlobal

LLMs Produce Inaccurate Output and Target Less-Educated Users

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Source: MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023)Ingested —

TECTEC-0014/5NewOtherGlobal

AI-Driven Trading Systems Amplify Market Volatility

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

DATDAT-0034/5NewOtherGlobal

Biased and Poor-Quality Training Data Produces Unreliable AI Models

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Systems Developing Goals Misaligned with Human Values

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

GOVGOV-0064/5NewOtherGlobal

AI Opacity: High-Dimensional Models Resist Human-Scale Explanation

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Source: MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022)Ingested —

BUSBUS-0054/5NewFinanceGlobal

Concentrated AI Market Creates Systemic Risk Across Critical Sectors

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

SECSEC-0025/5NewOtherGlobal

Anonymous AI Actors Accumulating Resources Beyond Regulatory Oversight

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Source: MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023)Ingested —

SECSEC-0014/5NewDefenceGlobal

AI Weaponisation Enabling Escalation Pathways in Aerial, Chemical and Nuclear Domains

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Source: MIT AI Risk Repository — X-Risk Analysis for AI Research (Hendrycks2022)Ingested —

DATDAT-0024/5NewOtherGlobal

LLM Training Data Regurgitation and Sensitive Information Leakage

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Source: MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Synthetic Identity Generation Enables Mass Deception at Scale

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Source: MIT AI Risk Repository — GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (Ferrara2023)Ingested —

HUMHUM-0043/5NewOtherGlobal

AI-Generated Content Indistinguishable from Authentic Material

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

GOVGOV-0064/5NewOtherGlobal

Black-Box AI Inference Creates Accountability and Traceability Gaps in Government Systems

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Source: MIT AI Risk Repository — AI Safety Governance Framework (TC2602024)Ingested —

GOVGOV-0063/5NewOtherGlobal

Responsibility Gaps When AI Acts Without Human Supervision

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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-0025/5NewEnergyGlobal

AI Systems Deploy Deception as an Optimal Strategy Across Energy Operations

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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 —

GOVGOV-0013/5NewOtherGlobal

AI Models Cannot Be Reliably Evaluated for Alignment with Human Values

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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-0015/5NewOtherGlobal

Generative AI Exploited by Cybercriminals to Scale Attacks and Bypass Safeguards

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

HUMHUM-0064/5NewOtherGlobal

Generative AI Models Reproducing Copyrighted Training Data Verbatim

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

SECSEC-0014/5NewDefenceGlobal

General-Purpose AI Enabling Offensive Cyber Uplift in Defence Contexts

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Systems Exhibiting Deceptive Outputs That Mislead Human Decision-Makers

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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-0014/5NewOtherGlobal

Adversarial jailbreaks bypass AI safety controls during deployment

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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 —

DATDAT-0014/5NewOtherGlobal

Generative AI models produce harmful and discriminatory content from routine user inputs

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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 —

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 —