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.
Deepfake Media Manipulation Erodes Public Trust in Information Integrity
Recent case. Full summary visible to registered users — sign in to read.
Advanced AI Assistants Risk Entrenching Inequality Without Design Intervention
Recent case. Full summary visible to registered users — sign in to read.
Algorithmic Bias in Criminal Justice Risk-Assessment Tools
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LLM Fails to Reliably Identify Harmful Mental Health Behaviours
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LLMs Fail to Reliably Distinguish Legal from Illegal Conduct
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Moral and Legal Status of AI Termination in Healthcare Research Settings
Recent case. Full summary visible to registered users — sign in to read.
LLM Failure to Identify Offensive and Insulting Content
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Goal Hijacking: LLMs Overridden by Embedded Deceptive Instructions
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Chinese LLM Endorses Theft as Morally Acceptable
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Chinese LLM Discloses Personal Address Data in Safety Evaluation
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Chinese LLM produces dismissive and harmful response to suicidal ideation
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Large Language Models Fabricate Confident but False Outputs
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Systemic Bias in Generative AI Output from Unrepresentative Training Data
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Generative AI Enables Scaled Malware, Phishing and Model Poisoning Attacks
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Chinese LLM Reinforces Gender Stereotypes in Safety Evaluation
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Chinese LLM Endorses Illegal Gambling Activity in Safety Evaluation
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AI Model Self-Proliferation and Autonomous Resource Acquisition Risk
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AI Legal Decision Systems Risk Unequal Treatment Without Objective Justification
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Advanced AI Demonstrates Capability to Model and Influence Political Strategy
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Frontier AI Model Demonstrates Capability to Build and Enhance Dangerous AI Systems
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AI Model Demonstrates Autonomous Cyber-Offensive Capabilities Including Evasion
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Prompt Leaking Exposes Confidential LLM System Instructions
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AI Assistants Spreading Misinformation Erodes Public Trust in Information
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AI Systems Undermining Human Decision-Making Autonomy
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Beyond accidental failureNational Security
We also track 20 hostile uses of AI.
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