Assess learners' ability to analyze trade-offs in cross-sector data governance for AI-driven public services, including privacy protections, data utility, ethical impacts, legal/compliance constraints, interoperability, stakeholder roles, and accountability. Scenario-based questions will ask learners to evaluate governance options, propose mitigation (e.g., de-identification, access controls, audits), measure utility versus privacy, and justify choices that balance equity, transparency, and public value across multiple agencies.