Expert Type: Guest Author

Marc Aidinoff is an incoming assistant professor of the history of technology at Harvard University. Aidinoff recently served as chief of staff in the Biden-Harris White House Office of Science and Technology Policy, where he helped lead a team of policymakers on key initiatives. Aidinoff holds a Ph.D. from the Massachusetts Institute of Technology and B.A. from Harvard College.

Sorelle Friedler is the Shibulal Family Professor of Computer Science at Haverford College and a nonresident senior fellow at the Brookings Institution. She served as the assistant director for data and democracy in the White House Office of Science and Technology Policy under the Biden-Harris administration. Her research focuses on the fairness and interpretability of machine learning algorithms, with applications from criminal justice to materials discovery. Friedler is a co-founder of the ACM Conference on Fairness, Accountability, and Transparency. She holds a Ph.D. in computer science from the University of Maryland, College Park, and a B.A. from Swarthmore College.

Mona Sloane is an assistant professor of data science and media studies at the University of Virginia. She studies the intersection of technology and society, specifically in the context of AI design, use, and policy. She is a faculty lead in the Digital Technology and Democracy Lab at UVA’s Karsh Institute of Democracy, affiliated faculty with the Department of Women, Gender and Sexuality, and faculty affiliate with the Thriving Youth in a Digital Environment research initiative. Sloane also convenes the Co-Opting AI series and serves as the editor of the Co-Opting AI book series at the University of California Press, as well as the technology editor for Public Books. Her growing research group, Sloane Lab, conducts empirical research on the implications of technology for the organization of social life and spearheads social science leadership in applied work on responsible AI, public scholarship, and technology policy. Sloane holds a B.A. in communications and cultural management from Zeppelin Universität Friedrichshafen and an M.Sc. and Ph.D. in sociology from the London School of Economics and Political Science.

Ekkehard Ernst is chief macroeconomist at the International Labour Organization, where he is responsible for understanding the future of work and analyzing alternative paths for jobs and earnings to improve upon current trends. His work helps decision-makers understand developments in skills and labor costs around the globe, providing them with the necessary intelligence to make effective long-term decisions. Before joining the ILO in 2008, he worked at the Organisation for Economic Co-operation and Development and the European Central Bank. He has published extensively in the area of labor market trends and reforms and the impact of financial markets on jobs. Ernst studied in Mannheim, Saarbrücken, and Paris and holds a Ph.D. from the École des Hautes Études en Sciences Sociales.