Flagship lab
FAIRWORK
Forecasting AI Risks and Impacts on the Workforce
A large-scale systematic review forecasting how AI and automation affect workers, firms, and the changing meaning of work.
This project predicts and forecasts the impacts of AI and automation technology on workers through a large scale systematic literature review. The advance of AI continues to impact individual workers, firms, and societal trends, potentially changing the meaning of work, impacting productivity levels, and disrupting fundamental labor supply and demand dynamics. Our large-scale PRISMA systematic literature review parses all publications related to AI and automation, future forecasts, and workers published from 2010 to 2024. Our comprehensive empirical analysis on the impact of AI on workers implicates policymakers, business leaders, and workers alike.
Future of Work and SocietySystematic review
Current contributors
See alumni →- Shiva Shakouri Undergraduate Affiliate
- Lucas Wiese Graduate Affiliate
- Luisa Nazareno Faculty Affiliate
- Zeewan Lee Faculty Affiliate
- Nethan Mikil Kuruppu Undergraduate Affiliate
- Hardik Amin Graduate Affiliate
- Yu Lu Undergraduate Affiliate
- Daniel S. Schiff Core Faculty
- Yuhao (Jack) Wang Graduate Affiliate
- Kayshav Bhardwaj Undergraduate Affiliate
- Urjit Aich Undergraduate Affiliate
- Ashley Ko Undergraduate Affiliate
- Austin Lee Undergraduate Affiliate