AI bias in hiring algorithms

Diverse hiring teams and inclusive data collection are the first steps toward fair AI systems.

Regular monitoring and retraining are essential as bias can creep in over time.

Algorithmic auditing should be standard practice. We need systematic approaches to detect bias.

Fairness metrics like demographic parity and equalized odds should be part of model evaluation.