Wednesday, September 29, 2021 - 4:00pm to 5:00pm
Location:Virtual Panel - ET Remote Access - Zoom Webinar
Advances in machine learning create the opportunity to fundamentally change the U.S. workforce training system. Machine learning can help identify what skills are specifically relevant for new occupations and improve the delivery of highly personalized training to workers across the social economic spectrum. Yet, to reach its full potential, new policies and training paradigms will require significant investment. The public and private institutions that both fund and provide those trainings must have the capacity to adapt to new models.
In Collaboration with CMU's Block Center for Technology and Society
- Dr. Ramayya Krishnan — Dean, Heinz College of Information Systems and Public Policy; Faculty Director, The Block Center for Technology and Society, Carnegie Mellon University
- Dr. José-Marie Griffiths — NSC AI Commissioner
- Dr. Belinda S. Miles — President, Westchester Community College; Board Member, The Block Center for Technology and Society
- Dr. Majd Sakr — Professor, School of Computer Science; Faculty, The Block Center for Technology and Society, Carnegie Mellon University