Co-Opting AI: FINANCE
You can watch the episode here.
This event is a virtual panel discussion that will be live-streamed via Youtube
Guests can pose questions via Twitter
NYU’s Institute for Public Knowledge, NYU Tandon’s Department for Technology, Culture and Society and the 370 Jay Project invite you to a discussion on finance in the series on “Co-Opting AI.” Featuring Rumman Chowdhury, Juan Pablo Pardo-Guerra, Sarah Quinn and Mona Sloane in conversation, this event examines how AI and automation may change the financial industry, the economy and society. What is the connection between AI and other forms of automation in the financial industry? How do social relations constitute AI as an economic technology? And how In what ways do finance and AI intersect with other regimes? The panelists will come together to provide their expertise on markets, culture, economy, finance, automation and society to consider these questions.
Juan Pablo Pardo-Guerra is an Assistant Professor of Sociology at UC San Diego. He received his BSc in physics from UNAM (Mexico) and his PhD in science and technology studies from the University of Edinburgh. His research explores the connections between markets, cultures and technologies. Combining theoretical insights from economic sociology and science and technology studies, he has conducted historical research on the automation of stock exchanges, the development of national financial infrastructures, and the emergence of algorithmic and high frequency trading. In 2019, Pardo-Guerra published his latest book entitled Automating Finance – Infrastructures, Engineers, and the Making of Electronic Markets (Cambridge), which examines the moral, political and organizational struggles that were central to the automation of modern stock markets. He is additionally interested in studying the consequences of standardized quality evaluation exercises on career structures and research practices as well as the role of knowledge and information infrastructures in contemporary societies, including discussions about the challenges and possibilities of ‘big data’.
Sarah Quinn is an Associate Professor of Sociology at the University of Washington, and is currently a member of the Institute for Advanced Study. She uses historical research and case studies to investigate the intersection of political institutions, market practices, and systems of moralization. She is the author of American Bonds: How Credit Markets Shaped the Nation (Princeton, 2019), which explains how political institutions became involved in the nation’s lending practices. Her research has been funded by the Institute of New Economic Thinking, and published in the American Journal of Sociology, Sociological Theory, and other venues. Quinn is a current faculty affiliate of Urban@UW, and a past fellow of the Michigan Society of Fellows. She has a BA in Sociology from Smith College, and a MA and PhD in Sociology from the University of California, Berkeley.
Rumman Chowdhury is currently the Global Lead for Responsible AI at Accenture Applied Intelligence, where she works with C-suite clients to create cutting-edge technical solutions for ethical, explainable and transparent AI. Rumman serves as co-chair of the RSA’s Citizen AI Jury and actively participates in IEEE standards committees, the Partnership on AI, as an advisor to the UK House of Lords Parliamentary group on AI, and other global AI and ethics organizations. She has presented at multiple international governing bodies, including the United Nations, the OECD and the UK Parliament. Rumman has been featured in international media, including the Financial Times, Harvard Business Review, MIT Technology Review, BBC, Axios, Cheddar TV, CRN, The Verge, Fast Company, Quartz, Corrierre Della Serra, Optio, Australian Broadcasting Channel and Nikkei Business Times. She is a member of BrainTrust, a community of experts for Protocol, a tech magazine by Politico.
Mona Sloane is a 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. Mona is a Fellow at the Institute for Public Knowledge (IPK), a Fellow with NYU’s Alliance for Public Interest Technology and a Future Imagination Collaboratory (FIC) Fellow at NYU’s Tisch School of the Arts. She also works with The GovLab in New York and teaches at NYU’s Tandon School of Engineering. At IPK, Mona founded and convenes the ‘Co-Opting AI’ series. She also curates the Technology Section for Public Books. Mona holds a PhD 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. Follow her on Twitter: @mona_sloane.
The Co-Opting AI event series is convened by Mona Sloane. The are hosted at IPK and co-sponsored by the 370 Jay Project and the NYU Tandon Department of Technology, Culture, and Society.
Image Credit: Philipp Hertel