Responsible AI in Practice

In human services, the consequences of AI failure are very serious: denied benefits, delayed services, and erosion of public trust. This session focuses on how agencies can move from high-level principles to day-to-day governance practices that reduce risk and strengthen accountability. Participants will examine practical guardrails for AI use in human services, including governance structures, documentation, human oversight, and decision accountability. The session will explore how agencies can identify risk early, align AI systems with policy intent, and ensure responsibility does not disappear behind automation. This workshop is designed for leaders, policy staff, legal teams, and practitioners responsible for oversight, procurement, or implementation of AI-enabled systems.