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.
DATDAT-0023/5NewGovernmentGlobal
Generative AI Systems Reproducing Private and Copyrighted Data
Recent case. Full summary visible to registered users — sign in to read.
Source: MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)Ingested —
DATDAT-0034/5NewGovernmentGlobal
Generative AI Systems Deliver Unequal Accuracy Across Language and Demographic Groups
Recent case. Full summary visible to registered users — sign in to read.
Source: MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)Ingested —
DATDAT-0014/5NewOtherGlobal
Generative AI Systems Embed Culturally Contingent Values, Creating Global Deployment Risk
Recent case. Full summary visible to registered users — sign in to read.
Source: MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)Ingested —
DATDAT-0034/5NewTechnologyGlobal
Generative AI Systems Embed and Amplify Bias Against Marginalised Groups
Recent case. Full summary visible to registered users — sign in to read.
Source: MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023)Ingested —
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