News, publications, and events from the Future of Labor Lab.
Position paper on how AI's benchmark-centered selection environment limits exaptive capacity, accepted at the International Conference on Machine Learning.
Position paper arguing that predicting AI's impact on labor should be treated as a core machine learning problem, accepted at the International Conference on Machine Learning.
The Future of Labor Lab received a Notre Dame-IBM Technology Ethics Lab Research Grant to study the Meaning of Work.
A student reflection on Professor Yong Suk Lee's course on the application, ethics, and governance of AI, taught in Rome — exploring global power dynamics, cultural perspectives on privacy, and U.S.–China competition in AI influence.
Yong Suk Lee led a symposium on AI and the future of labor at Seoul National University, collaborating with Professor Lim Yong and Dr. Moon Ahram, with support from The Korea Foundation.
Yong Suk Lee presented 'Advancing AI Capabilities and Evolving Labor Outcomes' at the CEPR Paris Symposium.
