Responsible AI in Government: Building Trust Through Transparency and Governance Without Slowing Innovation

AI is already embedded in government systems, often outpacing policy. When AI influences eligibility decisions, enforcement actions, or access to public services, the stakes are high—public trust, regulatory risk, and security. Responsible AI frameworks address this by enabling explainable decisions, strong governance, and bias mitigation, showing that structure and oversight accelerate innovation rather than slow it. As a result, leaders are increasingly expected to clearly explain how AI is monitored, controlled, and justified.

Join Government Technology, Pegasystems, and AWS for a live webinar where industry experts explore what responsible AI looks like in practice. Drawing on AWS’s governance framework, Pega’s principles of transparency, fairness, empathy, and robustness, and leading AI safety research, the panel will show how intentional design, practical controls, and lifecycle governance help agencies manage risk and maintain accountability.

What you’ll learn:

• How responsible AI is applied in everyday systems 
• Practical ways to manage risk in high impact AI use cases as systems evolve 
• How agencies can meet public and regulatory expectations around AI governance