Using AI and Virtual Reality/Augmented Reality to Deliver Tailored and Effective Jobs Training
Authors: Cyrus Hodes, Niki Iliadis, & Mayank Kejriwal
To address the critical challenges of lifelong learning, evolving skills gaps, and continuous labor market transformation and automation, all Americans need to have access to agile and effective jobs training. Artificial intelligence (AI) and virtual reality/augmented reality (VR/AR) capabilities can deliver training tailored to the unique backgrounds, preferences, and needs of every individual. In this memo, we propose a two-stage approach that the Biden-Harris administration can adopt to help prepare Americans for the jobs of the future through responsible use of AI and VR/AR.
Stage 1 would launch a one to three pilot programs that leverage AI and VR/AR technologies to provide targeted training to specific communities.
Stage 2 would establish a national prize competition soliciting proposals to build and deliver a federal lifelong learning platform for the nation.
About the Authors
Cyrus Hodes is a Partner at FoundersX Ventures, a VC firm based in Silicon Valley. He is with of the Global Partnership on AI (GPAI) Pandemic Response group and the Climate Change & Biodiversity committee, a member of the OECD Expert Group on AI (ONE AI), and of the European Parliament STOA international Panel. Cyrus was educated at Sciences Po Paris where he lectured on International Security, has a M.A. from Paris II University in Defense & Geostrategy and a M.P.A. from Harvard University.
Niki Iliadis is an international specialist in responsible AI. Her research interests include AI’s impact on SDGs, AI’s implications on children, and agile governance processes for the responsible adoption of AI. Currently working as Senior AI Policy Researcher for The Future Society, she is supporting national AI policies and global AI governance initiatives. Previously, she led the delivery of the APPGAI, an initiative in the UK Parliament gathering evidence on the economic and socio-ethical impact of AI, and using that to shape policy. She holds a BSc in Political Science from UC Berkeley and an MSc in Public Management from LSE.
Dr. Mayank Kejriwal is a research assistant professor and research lead at the University of Southern California. Dr. Kejriwal’s research focuses on Artificial Intelligence and their application to complex systems, including crisis response and fighting human trafficking. His work has been funded by the US Department of Defense, corporate grants and philanthropic foundations, and his AI solutions for human trafficking has been transitioned and recognized on an international level. His research has been published in 50+ peer-reviewed scientific venues, and covered in international press, including Popular Science, CNN Indonesia, Scientias, San Francisco Times, Salon and World Economic Forum. He is the author of three books, the most recent one being ‘Knowledge Graphs: Fundamentals, Techniques and Applications’ (MIT Press, March 2021).