Assess students' ability to evaluate the ethical, legal, and socio-economic trade-offs involved in deploying AI-driven predictive policing in diverse urban communities, including algorithmic bias, data governance, civil liberties, accountability and transparency, impacts on marginalized groups, cost-benefit considerations, regulatory and policy frameworks, and community engagement; questions will require reasoned judgments, comparison of stakeholder perspectives, and proposals for mitigation and oversight strategies.