OECD AI Risk Framework Integration
- Langage dominant
- Python
- Étoiles
- 9
- Forks
- 12
- Merge moyen
- 2 h 23 min
- PR mergées (30 j)
- 2
Description
## Description
Implement OECD AI Principles alignment into FairMind's risk and compliance engine. This consolidates the previous OECD issues (#67-74) into a single tracked effort.
## Scope
- [ ] Risk register — structured storage for identified AI risks, mapped to OECD principles
- [ ] Automated risk analysis — scoring engine that evaluates models against OECD dimensions (transparency, accountability, robustness, fairness, safety)
- [ ] Cross-border risk assessment — flag regulatory differences across jurisdictions
- [ ] Risk analytics and reporting — dashboard visualizations and exportable reports
- [ ] API endpoints — backend services for risk CRUD, scoring, and report generation
- [ ] Testing — unit and integration tests for scoring logic and API
- [ ] Documentation — contributor guide for extending the framework
## Context
Overlaps with #149 (AI Risk - IBM/MIT integration). The OECD framework should be implemented as an additional taxonomy within the same risk assessment architecture, not a parallel system.
## Previous Issues
Consolidates: #67, #68, #69, #70, #71, #72, #73, #74
Guide de contribution
Ouvrir le guide de contribution
Évaluation
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