Editing AI for Human Resources (section)

== <span style="color: #FFFFFF;">Evaluating</span> ==
HR AI evaluation must include fairness: (1) **Predictive validity**: does the model actually predict job performance? Collect outcome data and measure correlation. (2) **Disparate impact testing**: compare selection rates across protected groups; flag if any group's rate is less than 80% of the highest group (4/5ths rule). (3) **Adverse impact analysis**: test for age, gender, race, disability disparate impact explicitly. (4) **Explainability audit**: can a hiring manager explain every AI-assisted decision in terms the candidate would find fair? (5) **Outcome tracking**: track job performance of AI-selected vs. non-AI-selected employees; validate prediction accuracy.
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