AIBlindspot

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Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.

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GOV4/5Technology / AI ServicesCanada / United States

OpenAI Failed to Alert Police After ChatGPT Received Pre-Attack Messages from Tumbler Ridge School Shooter

ChatGPT received warning messages from the perpetrator of the Tumbler Ridge school shooting prior to the attack, but OpenAI did not notify Canadian law enforcement. CEO Sam Altman publicly apologized after the failure became public. Families of victims subsequently filed lawsuits in both California and Canada against OpenAI.

Source: AP News
OPSOPS-0014/5NewOtherGlobal

AI Integration in Critical Infrastructure Creates Systemic Failure Risk

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested
ENVENV-0033/5NewTechnologyGlobal

AI Infrastructure Expansion Drives Deforestation and Biodiversity Loss

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
BUSBUS-0054/5NewOtherGlobal

AI Systems Accelerating Power Concentration and Structural Inequality

Recent case. Full summary visible to registered users — sign in to read.

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
GOVGOV-0064/5NewOtherGlobal

General-Purpose AI Capabilities Resist Reliable Measurement

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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-0015/5NewOtherGlobal

Misaligned AI Objectives in High-Stakes Government Decision-Making

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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-0013/5NewOtherGlobal

AI Agents That Reason About Themselves Become Logically Unstable

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested
SECSEC-0014/5NewDefenceGlobal

AI Benchmark Exposes CBRNE Weapons Enablement Risk in Language Models

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
DATDAT-0024/5NewFinanceGlobal

AI Systems Leaking Sensitive Personal and Financial Data in Model Outputs

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
DATDAT-0014/5NewOtherGlobal

AI Benchmark Defines Threshold Where Models Enable Violent Crime Content

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
GOVGOV-0013/5NewOtherUSA

Misaligned AI development risks permanent loss of human control over civilisational outcomes

Recent case. Full summary visible to registered users — sign in to read.

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
DATDAT-0034/5NewOtherGlobal

AI Systems Trained on Biased Historical Data Perpetuate Discrimination in High-Stakes Decisions

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Source: MIT AI Risk Repository — Ethical Issues in the Development of Artificial Intelligence: Recognizing the Risks (Kumar2023)Ingested
ENVENV-0043/5NewDefenceGlobal

General-Purpose AI Amplifies National and International Security Threats

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
SECSEC-0013/5NewOtherGlobal

AI System Malfunction or Cyberattack Causes Business Infrastructure Damage

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
OPSOPS-0014/5NewTechnologyGlobal

LLMs Misled by Irrelevant Context, Degrading Reliable Performance

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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
OPSOPS-0014/5NewOtherGlobal

AI System Fails When Operational Data Diverges From Test Distribution

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Source: MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024)Ingested
SECSEC-0014/5NewDefenceGlobal

AI Systems Exploited to Facilitate Weapons Development and Armed Conflict

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
GOVGOV-0015/5NewOtherGlobal

AI Cognitive Superiority Creating Human Decision-Making Displacement Risk

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
OPSOPS-0014/5NewOtherGlobal

AI Systems Generate False Information Due to Truth Discernment Limits

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
GOVGOV-0063/5NewOtherGlobal

AI Complexity Blocks Causal Accountability in Harm Attribution

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
HUMHUM-0034/5NewOtherGlobal

AI Systems Generating False Defamatory Statements About Living People

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
SECSEC-0014/5NewDefenceGlobal

Adversarial Attacks Transfer from Open-Source to Closed 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
HUMHUM-0033/5NewOtherGlobal

Autonomous AI Systems Eroding Human Oversight Capacity

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
ENVENV-0033/5NewOtherGlobal

AI and Automation Systems Drive Excess Carbon Emissions

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:

State-Sponsored AI Operations
6
AI-Enabled Disinformation
5
Adversarial Attacks on AI
0
Autonomous Weapon Incidents
1
AI-Assisted Cyber Attacks
5
Dual-Use AI Misuse
3