fairlearn/fairlearn
GitHub で見るDOC Learning Objective 2.3: Identify best practices for data collection about people
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#1,413 opened on 2024年9月25日
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説明
Motivation Learning objective 2.3: “Identify best practices for data collection about people for their use case and context.”
Data scientists using Fairlearn may need to collect new data to assess fairness-related harms, but may not know best practices for collecting human subjects data, especially for demographic data.
Details to include
- Information about best practices for ethical collection of human subjects data (e.g., from Institutional Review Board guidance)
- Guidance on how to ask participants about demographic categories (see existing issues #792 and #795)
- Privacy implications of demographic data collection (e.g., Andrus et al., 2021)
- Could link to the discussion of construct validity in demographic data collection (see the Construct Validity section of the User Guide)