Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Session Type
Personal Schedule
Sign In
Access for All
Exhibit Hall
Hotels
WiFi
Search Tips
Annual Meeting App
Onsite Guide
Generative Artificial Intelligence (Gen AI) is posited to significantly impact the future of work, labor markets, and organizations. While there is a lot of interest in the popular press about Gen AI and its potential socioeconomic impacts, empirical research on the topics is lagging behind. This session brings together scholars who examine different facets of the impact of AI on the changing nature of work, organizations, labor markets, skills and expertise, and workplace inequality. This session will highlight cutting-edge and conceptual works on this topic and facilitate a dialogue with audiences. Through research presentations and interactive panel discussions, we seek to advance scholarship in this area of research while simultaneously building community.
Ya-Wen Lei, Harvard University
Benjamin Shestakofsky, Cornell University
Hatim Rahman, Northwestern University