Join us to discuss how AI will affect the workforce, what skills gaps we foresee forming, and how we can best prepare the workforce to learn and adopt new skill sets to help them succeed. This event will convene academics across economics, AI, business and organizational psychology along with industry leaders, non-profit organizations and AI Alliance members.Â
Hosted by The AI Alliance, Meta and IBM.Â
1. Understanding the current labor landscape, how we foresee AI will affect the workforce today, and what opportunities exist to help workers upskill.
2. Reviewing and understanding the first version of the “Essential AI Competencies Guide", an initiative by the AI Alliance.
3. Creating plans for how private companies and academic institutions can prepare workers and fill in the skills gaps.
Welcome & Overview
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This series of talks from academic researchers and industry professionals will provide an overview and key insights into how generative AI has already affected different industries. Speakers are listed below.Â
10:45am - 11:05am: Generative AI and Employment Dynamics, Dr. Yong Lee
11:05am - 11:20am: The AI Ready Workforce, Alex SwarstelÂ
11:20am - 11:35am: An introduction to the NJ-AI Education and Workforce Development, Dr. Andy Gunawardena
11:45am - 12pm: Reskilling the Age of AI, Leila Doumi
12pm - 12:15pm: IBM SkillsBuild, Sowmya Kannan
Yong Lee is Assistant Professor of Technology, Economy, and Global Affairs at the Keough School of Global Affairs and Concurrent Assistant Professor at the Department of Economics at the University of Notre Dame.
Lee's research is in the fields of labor economics, technology, entrepreneurship, and urban economics. His recent research examines digital technology and labor, focusing on how artificial intelligence and robotics affect labor and inequality and how society interacts with these new technologies. In relation to technology and labor, Lee's research also examines various aspects of entrepreneurship, e.g., entrepreneurship and economic growth, entrepreneurship and technology education, and factors that promote productive entrepreneurship.
Prior to joining the Notre Dame Lee was the SK Center Fellow at the Freeman Spogli Institute for International Studies and the Deputy Director of the Korea Program at the Walter H. Shorenstein Asia-Pacific Research Center. He was also an assistant professor of economics at Williams College in Massachusetts.
He received his PhD in Economics from Brown University, a Master of Public Policy from Duke University, and bachelor's degree and master's degree in architecture from Seoul National University. Lee also worked as a real estate development consultant and architecture designer as he transitioned from architecture to economics.
Dr. A.D. (Andy) Gunawardena is a Computer Science professor, currently leading the data science and transition to AI initiative at Rutgers University, the largest state university in NJ that graduates over 800 computer science majors each year. He is also part of the NJ/AI AI Education and workforce development initiative, a partnership of Princeton University and State of New Jersey.
He has been a Computer Science faculty member at Princeton University since 2013 and served as an Associate Teaching Professor at Carnegie Mellon University from 1998–2013, where he remains a courtesy faculty member.
An advocate for AI and technology in education, he co-authored three textbooks in computational linear algebra and over 50 research articles. Gunawardena co-founded TextCentric, Inc., which streamlined the publishing process and technology was acquired by Pearson in 2008, and Classroom Salon, a student engagement platform acquired by GTII in 2022.
He has received over $3 million in funding from various foundations and numerous awards, including HP's Leadership in Technology Award and Sri Lanka Foundation's Exceptional Achievement Award. Gunawardena is the principal inventor of several patents and co-founded CUbits.ai, a Princeton University startup focused on video indexing and search. He also leads CodeBench, a platform for scaling AI and Data Science education.
Currently, he is the stream editor for learning analytics at the International Journal of Innovation in Online Education and teaches courses in Machine learning, data science, algorithms, and more. His research interests include AI in education and human-computer interaction.
Alex Swartsel is managing director of Jobs for the Future (JFF) Labs's Insights practice, a growing team that helps decision-makers across the education-to-career landscape understand and prepare for the emerging trends, technologies, and innovations shaping the future of work and learning. JFFLabs’s rapid insights process and transformative trends research agenda focus on core areas impacting the future of work and learning—including AI, the metaverse, climate resilience, lifelong learning, aerospace, robotics, and other emerging fields. Alex is also leading the launch of JFF’s new Center for Artificial Intelligence & the Future of Work.
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Before joining JFFLabs, Alex served as chief of development, finance, and external affairs for Teach for America’s Washington, DC, region and as a senior advisor to U.S. Sen. Elizabeth Warren, co-designed global strategic planning at the Motion Picture Association, and built and led the communications team for then-first-term U.S. Senator Sheldon Whitehouse.
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Alex chairs the board of directors of Capital City Symphony and is also a longtime member and former chorus president of the Choral Arts Society of Washington. She holds a BA summa cum laude, Phi Beta Kappa from Wellesley College and an MBA from the Yale School of Management.
Leila Doumi is a PhD Candidate in the Strategy Unit at Harvard Business School. She conducts research on technology adoption, corporate strategy, and the future of work with a focus on how corporations can develop and optimize their strategies to become more digital and implement new technologies.
Prior to joining the Strategy Unit, Leila earned her BA and MA in Sociology from the University of Mannheim, Germany. During her studies, she worked as a research and teaching assistant for the University of Mannheim as well as for the Stanford Graduate School of Business. She also worked for the Daimler Group (currently Daimler Trucks), where she was part of the In-house Consulting unit focused on organizational development, before transitioning to the Strategy and Governance unit of the digitization department.Â