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