Lesson 1413 of 1596
AI and Fairness Metric Selection Memo: Tradeoff Walkthrough
AI can draft a fairness metric selection memo, but the responsible AI lead and affected stakeholders own the choice.
Creators · Ethics & Society · ~7 min read
The premise
AI can produce a memo comparing fairness metrics (demographic parity, equal opportunity, calibration) for a specific decision system.
What AI does well here
- Lay out which metrics are mathematically incompatible for the use case
- Surface stakeholder groups likely to prefer each metric
What AI cannot do
- Decide which fairness definition best matches your community's values
- Replace stakeholder consultation with the affected populations
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain fairness in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI and Fairness Metric Selection Memo: Tradeoff Walkthrough" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check metrics against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
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