'The Algorithm': AI, Civil Rights, and the Workplace
Hilke Schellmann, Mona Sloane
Hilke Schellmann, author of The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired, and Why We Need To Fight Back Now, joins us to discuss how AI has taken over the world of work, creating one of the biggest civil rights issues of our time. UVA’s Mona Sloane, a faculty lead for the Karsh Institute’s Digital Technology for Democracy Lab, moderates the conversation.
Speakers
Hilke Schellmann
Assistant Professor of Journalism, New York University
Hilke Schellmann
Assistant Professor of Journalism, New York University
Hilke Schellmann, is an Emmy Award–winning investigative reporter and assistant professor of journalism at New York University.
As a contributor to The Wall Street Journal and The Guardian, Schellmann writes about holding AI accountable. In her book, The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired, And Why We Need To Fight Back (Hachette), she investigates the rise of AI in the world of work. Drawing on exclusive information from whistleblowers, internal documents and real‑world tests, Schellmann discovers that many of the algorithms making high‑stakes decisions are biased, racist, and do more harm than good.
Her four-part investigative podcast and print series on AI and hiring for MIT Technology Review was a finalist for a Webby Award.
Mona Sloane
Assistant Professor of Data Science and Media Studies, University of Virginia
Mona Sloane
Assistant Professor of Data Science and Media Studies, University of Virginia
Mona Sloane is an assistant professor of data science and media studies at the University of Virginia. As a sociologist, she studies the intersection of technology and society, specifically in the context of AI design, use, and policy. She also convenes the Co-Opting AI series, a public speaker series focused on all aspects of AI technology and its application, ranging from security to food, games, and more, and serves as the Technology Editor for Public Books.
Her current work includes the development of new methods for AI auditing and AI transparency, innovating AI procurement, AI in hiring and talent acquisition, AI participation and public education, new AI tools for investigative journalism, global AI policy and local governance innovation on AI, and a range of different responsible AI topics.