Assess graduate-level ability to evaluate the effectiveness and ethical implications of AI-driven recruitment tools in predicting long-term job performance and career progression. Scope includes assessing predictive validity and reliability over time, designing and interpreting longitudinal validation studies, identifying sources of algorithmic bias and disparate impact, evaluating data quality, privacy, interpretability, and fairness trade-offs, situating tools within legal and regulatory contexts, and recommending evidence-based mitigation, monitoring, and governance strategies for ethical deployment.