JROMC is pleased to co-host this lecture as part of 2025 Engineers Week. Prof. Pramod Khargonekar, Vice-Chancellor for Research and Professor of Electrical Engineering and Computer Science at U.C. Irvine, will speak on February 19, 2025 from 5:30 to 7:00 pm at Fuller Lodge, Los Alamos, NM.
Title:
Future of Work and Workers in the AI Era
Abstract:
As automation, machine learning and artificial intelligence technologies continue their remarkably rapid development, it is expected that many facets of work and lives of workers will be impacted. In this talk, we will begin with some data and insights from historical examples of technological impacts on work and workers in the Industrial Revolution. This will be followed by a discussion of AI as a “general purpose technology.” Next, we will cover emerging knowlege about how current and projected AI developments are impacting work and workers. We will also discuss how a human-centered approach to AI can help shape the future of work and workers.
This event is sponsored by:
- Los Alamos National Laboratory Engineering Leadership Council and National Security Education Center
- Los Alamos ScienceFest
- J. Robert Oppenheimer Memorial Committee
- New Mexico Consortium
Speaker Biography:
Prior to his arrival at UC Irvine in 2016, Khargonekar was on the faculty at the University of Florida, the University of Minnesota and the University of Michigan. In 2013, he was appointed by the National Science Foundation (NSF) to serve as assistant director for the Directorate of Engineering and served as a member of the NSF senior leadership and management team. Khargonekar’s research and teaching interests include systems and control theory, machine learning and applications to smart electric grid and neural engineering. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the International Federation of Automatic Control and the American Association for the Advancement of Science and has won the Control Systems Award, Baker Prize, Control Systems Society Bode Lecture Prize and CSS Axelby Award from IEEE.