Lesson 1981 of 2116
AI and Bias Audit Checklists: Pre-Deployment Reviews
AI can draft bias audit checklists for ML systems, but the audit itself requires data scientists and domain experts.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2bias audit
- 3fairness
- 4checklists
Concept cluster
Terms to connect while reading
Section 1
The premise
AI can take a system description and draft a bias audit checklist covering data, model, and deployment-stage checks.
What AI does well here
- Cover standard fairness metrics and slice analyses
- Suggest representative subgroup samples to test
What AI cannot do
- Run the audit or interpret the results
- Replace domain experts on which subgroups matter
Key terms in this lesson
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