Evaluate the ethical, legal, and socioeconomic trade-offs of deploying AI-driven predictive policing in urban environments. Test understanding of algorithmic bias and fairness, privacy and civil liberties, data governance and transparency, relevant legal and accountability frameworks, and socioeconomic effects on marginalized communities, crime prevention, policing resources, and public trust. Require critical appraisal of evidence, a risk–benefit analysis using appropriate evaluation metrics, and a justified set of policy or technical mitigation recommendations.