Labor Complexity and the Future of Work

Artificial Intelligence has evolved and now challenges our understanding of skills, careers, and the future of work. Using a variety of data on employment, occupations’ skill requirements, millions of workers’ resumes, this talk will explore how workers’ skills shape their careers and how automation estimates fit into a framework for career adaptability and the economic resilience of labor markets. 

Dr. Morgan Frank is an assistant professor at the School of Computing and Information at the University of Pittsburgh. Frank is interested in the complexity of AI, the future of work, and the socio-economic consequences of technological change. Frank's research examines how individuals and skill-level processes around AI impact careers, firms, and society. Frank has a Ph.D. from MIT’s Media Lab, was a postdoc at MIT IDSS and the IDE, and has a master's degree in applied mathematics from the University of Vermont where he was a member of the Computational Story Lab.