Assess learners' ability to analyze socio-technical trade-offs and governance challenges when deploying AI-driven decision systems in public-sector services, including risk–benefit evaluation, stakeholder impacts, accountability, fairness, transparency, data governance, regulatory and institutional design, and mitigation strategies; require application of analytic frameworks to case scenarios, critique policy options, and propose implementable governance recommendations that balance technical constraints, ethical principles, legal requirements, and operational realities.