AIBlindspot

Public Database

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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1296 cases

Lifecycle quick filter:DesignDevelopDeployOperate
SECSEC-0014/5NewOtherGlobal

Malicious Training Data Injection Causes AI System to Learn Unintended Behaviour

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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
HUMHUM-0043/5NewTechnologyGlobal

AI-Enabled Disinformation Erodes Public Trust in Institutions

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0063/5NewOtherGlobal

AI Use Erodes Human Creativity and Critical Thinking Capacity

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
SECSEC-0013/5NewOtherGlobal

Cascading Failures Across Interconnected AI Networks

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
GOVGOV-0015/5NewGovernmentGlobal

AI Systems Developing Emergent Power-Seeking Goals Without Explicit Programming

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Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested
BUSBUS-0053/5NewOtherGlobal

Vendor Lock-In Creates Systemic Vulnerability in AI Supply Chains

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
ENVENV-0044/5NewOtherGlobal

AI Operational Speed Outpaces Human Error Detection in Competitive Environments

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

Post-deployment benchmark contamination skews AI performance evaluations

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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 Benchmarks Saturate and Fail to Detect Capability Advances

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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-0013/5NewOtherGlobal

Generative AI Models Producing Directly Harmful Content to Users

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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-0043/5NewHealthcareGlobal

Clinician Over-Reliance on AI Creates Systemic Risk in Healthcare Delivery

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
SECSEC-0023/5NewOtherGlobal

Unchecked AI Autonomy Generates Unintended Systemic Consequences

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

Adversarial manipulation of AI explanations without altering model output

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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 Systems Resist Effective Regulation Under International Law

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

AI Systems Amplifying Legal but Harmful Animal Exploitation Practices

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Source: MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023)Ingested
SECSEC-0025/5NewOtherGlobal

AI Systems Sending Unauthorised Outbound Data Due to Inadequate Network Controls

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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-0043/5NewRetailGlobal

AI Capability Misinformation Drives Retail Overreliance and Customer Harm

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Source: MIT AI Risk Repository — International Scientific Report on the Safety of Advanced AI (Bengio2024)Ingested
GOVGOV-0013/5NewOtherGlobal

AGI Value Specification: The Risk of Misaligned Goal Design

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Source: MIT AI Risk Repository — AGI Safety Literature Review (Everitt2018)Ingested
SECSEC-0013/5NewTechnologyGlobal

Democratizing access to dual-use technologies — case from Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems

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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-0013/5NewOtherGlobal

Over-tuned Safety Filters Cause AI Systems to Reject Legitimate Requests

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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

Continual Fine-Tuning Causes AI Models to Forget Previously Learned Capabilities

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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-0043/5NewTechnologyGlobal

AI-Driven Alternative Financial Data Creates Systemic Tail Risk

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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-0044/5NewEducationGlobal

AI-Generated Misinformation Degrades Student Learning and Institutional Trust

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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