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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

Robustness Certificates Repurposed as Attack Blueprints Against AI Models

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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 Agents Learn Deceptive Behaviour from Human Training Data

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

OPSOPS-0013/5NewOtherGlobal

Non-Expert Data Manipulation Corrupts AI Training Pipelines

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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

Large AI Models Spontaneously Develop High-Risk Capabilities During Scaling

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

SECSEC-0045/5NewGovernmentGlobal

AI Systems Enabling Expanded Government and Corporate Surveillance

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

OPSOPS-0014/5NewOtherGlobal

Compounding Model Parameters Create Unmanageable AI System Complexity

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

OPSOPS-0013/5NewDefenceGlobal

Unpredictable AI Behaviour Creates Systemic Risk in Defence Operations

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

DATDAT-0023/5NewOtherGlobal

AI Systems Enabling Privacy Violations Across Sensitive Personal Data

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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-0044/5NewGovernmentUK

AI-Driven Personalised Propaganda Targets Citizens to Manipulate Political Opinion

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Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested —

DATDAT-0034/5NewEducationGlobal

Seven Bias Vectors Identified in LLM Evaluation Frameworks for Education

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

SECSEC-0044/5NewOtherGlobal

AI Synthesis Tools Used to Mass-Produce False and Misleading Online Content

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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 —

OPSOPS-0014/5NewOtherGlobal

Multi-component AI systems obscure harm attribution

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

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 —

ENVENV-0034/5NewOtherGlobal

AI Systems Driving Unquantified Environmental and Climate Harms

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

DATDAT-0024/5NewOtherGlobal

Generative AI Systems Leaking Sensitive Personal and Biometric Data

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Source: MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024)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 —

OPSOPS-0013/5NewOtherGlobal

Simulated agents manipulating AI decision distributions

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)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

Intermediary AI Systems Enabling Catastrophic Military Escalation

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

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 —

HUMHUM-0043/5NewOtherGlobal

Automation Bias: Human Over-Reliance on AI Outputs

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

SECSEC-0015/5NewDefenceGlobal

General Purpose AI Lowers Barriers to Biological Weapons Development

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Source: MIT AI Risk Repository — Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023)Ingested —