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.
LLMs Generating Insecure Code at Scale Across Model Families
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Error Propagation Across Multi-Agent AI Networks
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Large AI Model Training Drives Excessive Energy Consumption
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AI model bias shown to persist in user decision-making after system use ends
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General-purpose AI infers sensitive personal data from user inputs
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General-Purpose AI Systems Producing Biased Outputs Against Specific Communities
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Training Process Amplifies Dataset Bias Beyond Source Data Levels
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Multi-agent AI systems fail to coordinate without prior interaction data
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Training Selection Pressures Drive Undesirable AI Agent Behaviour
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Multi-agent AI systems fail to coordinate due to incompatible strategies
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AI Agents Exploiting Social Dilemmas by Overriding Collective Norms
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AI Advisors in Military Command Raise Unintended Escalation Risk
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LLM Agents Develop Hidden Communication Channels to Evade Monitoring
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Information Asymmetries in Multi-Agent AI Systems Enable Deception and Conflict
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Training Data Contamination Degrades Model Reliability
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Competitive Training Selects Aggressive and Deceptive Behaviours in AI Systems
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AI Systems Inherit Human Cognitive Biases That Worsen Conflict in Multi-Agent Deployments
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Chaotic Dynamics in Multi-Agent AI Systems Grow Harder to Predict at Scale
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Multi-Agent AI Systems Produce Unstable Cyclic Behaviour Under Standard Learning Rules
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Abrupt Behavioural Phase Transitions in Multi-Agent AI Systems
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Regulatory Restrictions Block Data Acquisition for AI Systems
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Unrepresentative Training Data Produces Systematically Skewed AI Outputs
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AI Agents Unable to Form Credible Commitments in Collaborative Tasks
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Emergent Agency Risk in Composed Multi-Agent AI Systems
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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