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.
Conversational AI systems embed gender and racial stereotypes by design
Recent case. Full summary visible to registered users — sign in to read.
Language Model Performance Gaps Across Languages and Dialects
Recent case. Full summary visible to registered users — sign in to read.
Language Models Encode and Reproduce Harmful Social Stereotypes at Scale
Recent case. Full summary visible to registered users — sign in to read.
ML Systems Enabling Psychological Manipulation and Surveillance Capitalism
Recent case. Full summary visible to registered users — sign in to read.
ML Systems in Transport Driving Net Environmental Harm Through Prediction Error and Rebound Effects
Recent case. Full summary visible to registered users — sign in to read.
Machine Learning Models Leak Personal Training Data Despite Secure Storage
Recent case. Full summary visible to registered users — sign in to read.
Adversarial Attacks and Model Theft in Transport AI Systems
Recent case. Full summary visible to registered users — sign in to read.
ML Systems in Education Discriminate Against Minority Demographics
Recent case. Full summary visible to registered users — sign in to read.
ML Systems Transfer Control Without Transferring Safety Accountability
Recent case. Full summary visible to registered users — sign in to read.
AI System Acquires Unintended Behaviour Through Post-Deployment Learning
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Transport AI Systems Fail on Out-of-Distribution Inputs in Real-World Conditions
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Generative AI Energy and Manufacturing Emissions Lack Consistent Carbon Accounting
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Generative AI Systems Reproducing Private and Copyrighted Data
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Generative AI Systems Deliver Unequal Accuracy Across Language and Demographic Groups
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Generative AI Systems Embed Culturally Contingent Values, Creating Global Deployment Risk
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Generative AI Systems Embed and Amplify Bias Against Marginalised Groups
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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