Gatekeeping the labour market: How Recruiters use AI to find and assess talent
Advances in artificial intelligence, such as the advent of machine learning and the growth of big data, enable AI to be utilized to recruit, screen, and predict the success of applicants. This seminar will cover recent research on how employers can feel empowered to use AI responsibly so they can build a diverse, qualified workforce at scale.
Discussant: Nikolai Rogovsky, Senior Economist, ILO
Mona Sloane, Ph.D. is a sociologist working on design and inequality, specifically in the context of AI design and policy. She is Research Assistant Professor at NYU’s Tandon School of Engineering, Senior Research Scientist at the NYU Center for Responsible AI, a Fellow with NYU’s Institute for Public Knowledge (IPK) and The GovLab, and the Director of the *This Is Not A Drill* program on technology, inequality and the climate emergency at NYU’s Tisch School of the Arts. She is principal investigator on multiple research projects on AI and society, and holds an affiliation as postdoctoral scholar with the Tübingen AI Center at the University of Tübingen in Germany where she leads a 3-year federally funded research project on the operationalization of ethics in German AI startups. Mona founded and runs the IPK Co-Opting AI series at NYU and currently serves as editor of the technology section at Public Books. She holds a PhD in Sociology from the London School of Economics and Political Science. Follow her on Twitter @mona_sloane.