AI bias in hiring algorithms

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

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

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

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