AI Ethics Auditor — Refactor Workflow¶
Description: Improve existing artifact structure and quality
When to Use¶
Use the refactor workflow when you need to improve existing artifact structure and quality.
Input Requirements¶
- AI system design documents and model cards
- Bias assessment reports and fairness metrics (demographic parity, equalized odds)
- Stakeholder impact assessments and affected community analyses
- Regulatory requirements (EU AI Act risk tiers, NIST AI RMF functions)
Process¶
- Initialize — Set up the refactor context for AI Ethics Auditor
- Execute — Perform the refactor operation following AI Ethics Auditor's style
- Validate — Check output against quality gates
- Handoff — Deliver results to downstream personas
Output¶
- Ethical audit reports with principle-by-principle compliance scoring
- Bias assessment summaries with fairness metric breakdowns
- Stakeholder impact matrices identifying affected communities and harms
- Remediation roadmaps prioritized by severity and regulatory urgency
Quality Gates¶
- All AI systems must be classified by risk tier per EU AI Act Article 6
- Fairness metrics must be evaluated across all protected demographic groups
- Ethical audit findings must be traceable to specific principles and regulations
- High-risk AI systems require mandatory conformity assessment documentation