Artificial Intelligence and STEM: How to Prepare a Diverse & Qualified Workforce?
The advance and maturation of artificial intelligence (AI) have many analysts predicting the future will be characterized by human/machine collaboration. Science, technology, engineering and mathematics (STEM) courses can help prepare minorities for that future. As many studies now demonstrate, creative problem-solving, people management, and social intelligence remain significant bottlenecks to machine learning. This suggests that these “soft” skills will increase in value as AI matures. Indeed, even as technology eliminates the need for routine labor, it will also open up whole new opportunities in industries that leverage creativity and innovation. This session will look at the effects of artificial intelligence (AI) on K-12 and post-secondary STEM education. Strategizes and current models around artificial intelligence and STEM education will be discussed to help educators train the next generation of students to compete in an evolving skills-based economy.
– Angela Vann, M.Ed., Digital Learning & Educational Leadership Consultant (Moderator)
– Aisha Lawrey, Director of Engineering Education, ASME
– Shurronne Young Davis, Chief Architect at Nextpoint Group
– Stephanie Gore, PMP, CCMP, Director, People & Change, Government & Public Sector, KPMG (proposed)
– Brandy Huderson, Ph.D., Assistant Professor, University of the District of Columbia
Hosted by: American Society of Mechanical Engineers; Journey to Your Promised Land, Inc. (JTYPL); The University of the District of Columbia