Events
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AI and the Future of Work
May 21-22, Jon M. Huntsman Hall
AI at Wharton is hosting AI and the Future of Work, a two-day academic conference exploring how artificial intelligence is reshaping the workplace. The conference will bring together leading scholars, industry researchers, and practitioners to discuss the evolving relationship between AI and employment.
We will examine topics such as AI’s impact on job markets, human-machine collaboration, reskilling and upskilling, AI-driven productivity, and more. Yong Lee will be presenting a working paper, Advancing AI Capabilities and Evolving Labor Outcomes, at the conference.
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Eleventh Conference of the Society for the Study of Economic Inequality
July 9-11, 2025, Washington, DC
The ECINEQ Executive Committee is pleased to announce the Eleventh Conference of the Society for the Study of Economic Inequality (ECINEQ), scheduled to take place in Washington, DC from July 9 to July 11, 2025. This conference is co-hosted by the World Bank Group and George Washington University and will be held at the World Bank headquarters.
The ECINEQ conference provides an important international forum for researchers whose work focuses on economic inequality and related fields, bringing together a comprehensive exchange of perspectives. Yong Lee will be presenting a working paper, Advancing AI Capabilities and Evolving Labor Outcomes, at the conference.
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AI & Labor Policy Workshop
March 11, 2025, Keough School of Global Affairs Washington Office
In response to these shifts, education and workforce development must adapt to meet the demands of a rapidly changing world. Equally important is the need to carefully consider how AI is adopted within organizations, as well as how to govern this integration to ensure a responsible and sustainable approach.
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2025 Notre Dame–IBM Technology Ethics Lab Tech Ethics Forum
January 22-23, 2025, McKenna Hall
The Notre Dame–IBM Technology Ethics Lab hosted a two-day forum for the research teams that received funding through the Lab's 2024 Call for Proposals (CFPs). The Lab's 2024 CFPs delved into the moral dilemmas of large-scale models, their potential impacts, and efforts to navigate these challenges responsibly. A total of $942,117 was awarded to 17 projects. Eleven projects were completed by December 31, 2024; six were continued through June 30, 2025.
Over the course of the forum, researchers from global universities presented their work, met with each other, and discussed future steps forward.
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Game Changers: Decoding AI
September 25, 2024, Virtual
Join the University of Notre Dame’s Alumni Association for "Decoding AI," part of the virtual series "Game Changers: Inspiration and Expertise to Elevate Your Game for Good," powered by IrishCompass. All are invited—regardless of career stage, industry, or profession—to learn from inspiring leaders.
In this AI era, humans are challenged by its complexities, limitations, and impact on our work and life. This panel of experts dives into what’s coming and the impact on how we work, learn, and live. Join our panel discussion to hear their insights into the opportunities, risks, and ethical implications surrounding AI.
Yong Lee is one of the five panelists for this virtual event.
News
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AI and labor policy: Notre Dame workshop in Washington, D.C. explores interventions to empower workers
What does the rise of artificial intelligence mean for workers, and how can policymakers help them adapt?
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Using robots in nursing homes linked to higher employee retention, better patient care
Facing high employee turnover and an aging population, nursing homes have increasingly turned to robots to complete a variety of care tasks, but few researchers have explored how these technologies impact workers and the quality of care.
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Notre Dame AI expert informs discussion on helping workers adapt
Drawing on his artificial intelligence expertise, economist Yong Suk Lee is collecting evidence and input for an ethical AI framework that will help workers adapt to and benefit from new technologies.
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AI can alert urban planners and policy makers to cities' decay, Notre Dame researcher finds
Using machine learning to recognize patterns of neighborhood development and urban inequality, we can help urban planners and policy makers better understand the deterioration of urban space and its importance in future planning.
