Overview

March 17
10AM PT, 1PM ET

Register

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 

Speakers

 

Tara DeZao

Senior Director, Product Marketing, Customer Engagement, Pegasystems

 

Travis Lenihan

Senior Account Manager, Anthropic Public Sector, Amazon Web Services

Travis Lenihan serves as AWS Senior Account Manager for Anthropic Public Sector, bringing over 25 years of government technology partnership experience to responsible AI deployment in the public sector. He specializes in managing Claude LLM implementations across Intelligence Community, Department of Defense, healthcare, and education organizations, with expertise in FedRAMP High and DoD Impact Level authorizations through AWS GovCloud. Travis previously led the AWS Intelligence Initiative Foundational Program. His extensive background in government contracting and technology partnerships positions him at the forefront of secure, compliant AI adoption for mission-critical applications.