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Artificial Intelligence

  • Who’s Afraid of AI? Maximilian Kasy Discusses His New Book, The Means of Prediction

    Affiliated Scholar Maximilian Kasy discusses his new book, The Means of Prediction: How AI Really Works (and Who Benefits), which offers a convincing argument for democratic control over AI’s objectives.

  • AI and the Future of Work

    Artificial Intelligence is developing at breakneck speed, causing much anxiety about how our society and daily lives may change in the not-too-distant future. Top of mind for many: jobs. Daron Acemoglu, Paul Krugman, Danielle Li, and Zeynep Tufecki bring the speculation down to earth in a panel moderated by Steven Greenhouse.

  • Updating “The Future of Coding”: Qualitative Coding with Generative Large Language Models

    N.Than, L. Fan, T. Law, L. K. Nelson, and L. McCall. Sociological Methods & Research. 2025.

  • AI Policymaking: A New Paper Looks at How Social Scientists Can Expand the Focus from Safety to Equity

    A new publication by former Stone Center postdoctoral scholar Tina Law and Stone Center Associate Director Leslie McCall discusses why and how social scientists should help shape policy debates about artificial intelligence to center equity and public engagement.

  • Artificial Intelligence Policymaking: An Agenda for Sociological Research

    T. Law and L. McCall. Socius. vol. 10. 2024.

  • Immigration and Regional Specialization in AI

    G. Hanson. Stone Center Working Paper Series. no. 73. 2023.

  • The Political Economy of AI: Towards Democratic Control of the Means of Prediction

    M. Kasy. Stone Center Working Paper Series. no. 65. 2023.

Stone Center on Socio-Economic Inequality
Room 6203.08
CUNY Graduate Center
365 Fifth Avenue
New York, NY 10016

Copyright © 2025 CUNY Graduate Center

  • About
  • Stone Center Senior Scholars
  • GC Wealth Project  
  • Stone Center Working Paper Series
  • Contact Us

Stone Center on Socio-Economic Inequality
Room 6203.08
CUNY Graduate Center
365 Fifth Avenue
New York, NY 10016

Copyright © 2025 CUNY Graduate Center

  • About
  • Stone Center Senior Scholars
  • GC Wealth Project  
  • Stone Center Working Paper Series
  • Contact Us
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You can change your mind at any time by clicking the unsubscribe link in the footer of any email you receive from us, or by contacting us at stn_lis@gc.cuny.edu. We will treat your information with respect. For more information about our privacy practices please visit our website. By clicking below, you agree that we may process your information in accordance with these terms.


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