3/4/26: Reimagining Work in the Age of AI Agents Panel

Описание: AI agents are here. Now what? As AI agents are increasingly used to coordinate high-stakes projects from start to finish, the decisions we make now will shape labor markets, services, team dynamics and workplace interactions, education and training, policies, and organizational trust for years to come. How can we build ethics-driven systems that empower workers and harness the transformative potential of agentic AI for social good? This panel explores questions of trust, agency, accountability, and autonomy at the core of human – AI partnerships while identifying key opportunities for responsible innovation. Hear perspectives from leaders in industry, government, and R&D as we examine our roles, needs, and values in an ever-changing workplace.

Panelists:
Aarti Choudhary, Global Lead for Responsible AI, AMD. Choudhary is a senior technology leader and Responsible AI lead at AMD, driving the company’s strategy for Responsible, Open, and Trustworthy AI across AI hardware, software, robotics, and ecosystem partnerships. She brings deep cross-industry experience from Intel, Microsoft, and AMD, spanning AI platforms, robotics systems, governance, and large-scale deployment. Her work focuses on embedding trust, transparency, security, and sustainability into intelligent systems—from silicon to robotics to full AI systems—while advancing open ecosystems, AI education, and global collaboration with academia, industry, and policymakers.

Nancy Morgan, CEO, Ellis Morgan Enterprises. Morgan is a national security leader who bridges the Intelligence Community, defense and private sectors to drive data and AI innovation. As the former US Intelligence Community Chief Data Officer (IC CDO) and a CIA executive with 36+ years of leadership experience, she spearheaded groundbreaking data and IT initiatives and public-private partnerships that reshaped how America's intelligence agencies harness information for national security. Now CEO of Ellis Morgan Enterprises and a Strategic Advisor to The Cantellus Group, she shapes corporate transformations in data and AI strategy, organizational readiness, governance and modernization across national security and commercial sectors.

Elias Stengel-Eskin is an Assistant Professor of Computer Science at the University of Texas at Austin. His research spans artificial intelligence, natural language processing, and computational linguistics, and focuses on developing AI agents that can intelligently communicate and collaborate with people and each other.

Luis Sentis is a Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin and currently directs the Amazon Science Hub. He recently completed a term as the Chair of the university's Good Systems initiative, which works to ensure AI technologies benefit society. His technical foundation was built at Stanford University, where he earned his Ph.D. and M.S. in Electrical Engineering. His research in the Human-Centered Robotics Laboratory specializes in whole-body control and the development of high-performance humanoid robots.

Lucas Meyer, Principal Research Scientist, Microsoft AI for Good Lab
Meyer is a Principal Research Scientist at the Microsoft AI for Good Lab, focused on applied AI to solve real-world problems. Since 2016, he has led work translating advances in LLMs into practical systems, connecting technical design to governance, safety, and outcomes.