Researcher

Karen Levy

Karen Levy is an information science professor whose research asks how AI and data systems shape rules at work and in public life. She earned political science and law degrees at Indiana University, then a sociology doctorate at Princeton. After a federal court clerkship and research roles at NYU and Data & Society, she studied workplace surveillance and published Data Driven. Her later AI work examined public participation in foundation models, federal grantmaking rules, and MLB's automated ball-strike system; Data Driven received a 2023 American Sociological Association book award. As of October 2026, she is an associate professor and one of four faculty leaders of Cornell's Artificial Intelligence, Policy, and Practice initiative.

Timeline

  1. 2003–2014

    Indiana and Princeton degrees

    She earns a B.A. in political science at Indiana University in 2003 and a J.D. there in 2006. She completes an M.A. in sociology at Princeton in 2010 and a sociology Ph.D. there in 2014.

  2. 2006–2016

    A clerkship and NYU postdoc

    She clerks at the U.S. District Court in Indianapolis from 2006 to 2008. From 2014 to 2016, she works as a postdoc at NYU's Information Law Institute and as a fellow at Data and Society Research Institute.

  3. 2015–2016

    Joining Cornell Information Science

    She becomes an assistant professor of information science at Cornell in its 2015–16 faculty class, researching surveillance, data collection and how rules interact with technologies. In 2015, she publishes “The Contexts of Control: Information, Power, and Truck Driving Work.”

  4. 2022

    Data Driven and trucker surveillance

    In 2022, she publishes Data Driven: Truckers, Technology, and the New Workplace Surveillance with Princeton University Press. The book examines how digital surveillance changes trucking and raises questions about the role of data collection in broader systems of social control.

  5. 2023

    The CITAMS Best Book Award

    In August 2023, Data Driven receives the American Sociological Association's Best Book Award from its Section on Communications, Information Technology, and Media Sociology.

  6. 2024

    Participatory foundation models

    In 2024, she coauthors “Participation in the age of foundation models,” which proposes a layered blueprint for community participation in the design and use of foundation models. The paper illustrates the approach through case studies in clinical care, financial services and journalism.

  7. 2025

    AI rules in federal grants

    In 2025, she coauthors “One Bad NOFO? AI Governance in Federal Grantmaking,” which studies how federal agencies use grant notices to govern grantee AI. The authors find few AI-specific judging criteria or restrictions in opportunities that mention AI.

  8. 2026

    Automating baseball's strike zone

    In 2026, she coauthors “Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement,” a study of MLB's automated system. It traces the gap between the written strike-zone rule and the system's implementation, then calls for evaluation of how people experience such systems in practice.

  9. As of October 2026

    Co-leading Cornell AIPP

    In October 2025, she joins a Cornell Law School panel on data access and AI explainability as an associate professor of information science. As of October 2026, she is an associate professor at Cornell and one of four faculty leaders of its AIPP initiative; her work studies how digital technologies enforce rules and normalize electronic surveillance within social and organizational relationships. In June 2026, she discusses how purpose-built LLMs could affect summer-associate work and legal training.

Career

  1. NowCornell UniversityAssociate Professor of Information Science
  2. NowCornell UniversityFaculty Leader, Artificial Intelligence, Policy, and Practice initiative
  3. 2014–2016New York UniversityPostdoctoral Researcher, Information Law Institute
  4. 2014–2016Data & Society Research InstituteFellow
  5. 2006–2008United States District Court for the Southern District of IndianaLaw Clerk
  6. Cornell UniversityAssistant Professor of Information Science

Education

  1. 2014Princeton UniversityPh.D. in Sociology
  2. 2010Princeton UniversityM.A. in Sociology
  3. 2006Indiana UniversityJ.D.
  4. 2003Indiana UniversityB.A. in Political Science

Sources and credits

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  1. Meet new members of the Cornell faculty, 2015-16 | Cornell Chronicle news.cornell.edu. Checked 27 October 2026.
  2. Karen Levy | Department of Science & Technology Studies sts.cornell.edu. Checked 27 October 2026.
  3. Karen Levy | Department of Information Science | Cornell Bowers infosci.cornell.edu. Checked 27 October 2026.
  4. Levy’s ‘Data Driven’ receives three Best Book awards | Cornell Bowers bowers.cornell.edu. Checked 27 October 2026.
  5. Participation in the age of foundation models arxiv.org. Checked 27 October 2026.
  6. One Bad NOFO? AI Governance in Federal Grantmaking arxiv.org. Checked 27 October 2026.
  7. Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement arxiv.org. Checked 27 October 2026.
  8. Inside baseball: AI-enabled enforcement tech takes time, testing | Cornell Chronicle news.cornell.edu. Checked 27 October 2026.
  9. Law School Hosts Panel on Frank Pasquale’s New Book on Data Access and AI Explainability - Cornell Law School lawschool.cornell.edu. Checked 27 October 2026.
  10. AI and Legal Practice – FORUM forum.lawschool.cornell.edu. Checked 27 October 2026.
  11. AIPP - Home aipp.cis.cornell.edu. Checked 27 October 2026.
  12. Karen Levy - Data & Society datasociety.net. Checked 27 October 2026.