Catalog explanation
Pre-release fairness assessment should combine metrics with context. Decision thresholds can change who benefits and who is harmed, so they should be reviewed deliberately.
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Microsoft catalog question
Describe considerations for fairness in an AI solution
What is the best way to assess fairness before deploying a loan approval model?
Choose a saved item to pin a local review date.
A
Remove all demographic data from evaluation so reviewers cannot see disparities
B
Train on the largest dataset available and deploy if the overall approval rate increases