How can I measure algorithmic fairness?
Measuring algorithmic fairness involves assessing how algorithms impact different groups. What specific context are you interested in?
I'm looking at hiring algorithms. How do I ensure they are fair?
For hiring algorithms, you can measure fairness by analyzing outcomes across different demographic groups. Techniques like disparate impact analysis can help.
What metrics should I use for this analysis?
Common metrics include demographic parity, equal opportunity, and predictive parity. Each has its strengths depending on your goals.
Are there any tools available to help with this?
Yes, there are several tools like Fairness Indicators, AIF360, and What-If Tool that can assist in evaluating algorithmic fairness.
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