Bias Audit Pocket Deck
Recall the highest-value prompts to use before, during, and after a fairness audit.
What is the difference between an audit that reassures and an audit that teaches? Comparison The stronger audit changes a deployment or policy decision. Objection handler We do not collect demographics, so we cannot have a fairness problem. Response Not measuring a group can hide disparate impact. The better question is whether we need restricted audit data to test for unequal outcomes safely. Blindness can make discrimination harder to prove, not less likely to exist. It reframes the issue from innocence by omission to responsibility for detectable outcomes. What question should come before choosing a fairness metric? Which harm matters…
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