Dr. Mona Sloane

I, Society – AI and Society: New Decade, More Challenges.

AI has been hailed as the gateway to the “4th Industrial Revolution”, mobilizing vast resource and sparking aspirations worldwide. As such, AI is an idea that is trapped between utopian and dystopian narratives. This polarization prevents us from examining the real potentials and pitfalls of AI, with severe consequences: how AI disproportionately inflicts harm on already disadvantaged populations is strategically disguised. This talk critically examines this dynamic and explores how it is grounded in the dominating logic of extraction, and how this may, or may not, be related to science.

Mona Sloane, Ph.D., is an NYU-based sociologist working on inequality in the context of AI design and policy. She frequently publishes and speaks about AI, ethics, equitability and policy in a global context. At NYU, she works with Vice-Provost Charlton McIlwain and on building NYU’s new Alliance for Public Interest Technology, and is Principal Investigator of the “Terra Incognita: Mapping NYC’s New Digital Public Spaces in the COVID-19 Outbreak” project, as well as Co-Principal Investigator on the “COVID-19 Tech Project”, together with Michael Weinberg (Executive Director, NYU Engelbert Center). She is Adjunct Professor at NYU’s Tandon School of Engineering, Fellow with NYU’s Institute for Public Knowledge (IPK), where she convenes the “Co-Opting AI” series and co-curates the “The Shift” series, and Fellow at the Future Imagination Collaboratory (FIC) Fellows at NYU’s Tisch School of the Arts. Mona is also affiliated with The GovLab in New York, and with Public Books where she is editor of the Technology section. Mona holds a Ph.D. from the London School of Economics and Political Science and has completed fellowships at the University of California, Berkeley, and at the University of Cape Town.

Visit her website and follow her on Twitter @mona_sloane