Governance Guide
AI Bias Audit Checklist for High-Risk Systems
High-risk AI systems require bias audits before deployment. This checklist defines testing categories, severity scoring, and remediation recommendations.
Implementation Steps
- Test demographic parity across protected characteristics: gender, age, ethnicity.
- Analyze outcome distribution for disparate impact across demographic groups.
- Audit training data representativeness and historical bias sources.
- Document findings with severity ratings and assign remediation owners.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion