Assess students' ability to analyze how competency-based hiring and AI-driven selection tools influence workforce diversity and predictive validity in professional services firms, including: definitions and theoretical frameworks; metrics and methods for measuring diversity, adverse impact, and validity (e.g., validity coefficients, selection ratios); sources of algorithmic and procedural bias; legal, ethical, and organizational constraints; interpretation of empirical case studies; and designing evaluation and mitigation strategies to balance fairness and predictive performance.