AI Behavioral Science
54 Pages Posted: 18 Aug 2025 Last revised: 29 May 2026
Matthew O. Jackson
Stanford University - Department of Economics; Santa Fe Institute
Qiaozhu Mei
University of Michigan at Ann Arbor
Stephanie Wang
University of Pittsburgh
Yutong Xie
University of Michigan at Ann Arbor - School of Information; University of Michigan at Ann Arbor
Walter Yuan
MobLab
Seth G. Benzell
Chapman University
Erik Brynjolfsson
National Bureau of Economic Research (NBER); Stanford
Colin Camerer
California Institute of Technology (Caltech) - Division of the Humanities and Social Sciences
James A. Evans
University of Chicago - Department of Sociology
Brian Jabarian
University of Chicago - Booth School of Business
Jon Kleinberg
Cornell University - Department of Computer Science
Juanjuan Meng
Peking University - Guanghua School of Management
Sendhil Mullainathan
University of Chicago
Asuman E. Ozdaglar
Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science
Thomas Pfeiffer
Massey University
Moshe Tennenholtz
Independent
Robb Willer
Stanford University
Diyi Yang
Stanford University
Teng Ye
University of Minnesota - Twin Cities
Date Written: August 01, 2025
Abstract
We outline a foundation for a new field of ``AI Behavioral Science,'' covering three perspectives. First, as AI becomes ubiquitous and is increasingly proprietary and opaque, it becomes vital to develop techniques for assessing AI behavior. We outline how tools developed to assess people’s behaviors by social scientists can be used to assess and infer AI’s behaviors biases, tendencies, and heuristics. Second, we also discuss how AI can change the ways in which we learn about human behavior. Beyond its computational power, AI offers new techniques for simulating, inferring, and predicting human behaviors that we outline and discuss. Third, as humans and AI are interacting in increasingly complex and intertwined systems, we need to understand the implications for the resulting economic and political outcomes. We outline issues that are increasingly pressing concerning the future of human-AI interactions and potential changes and disruptions that can ensue.
Keywords: AI, Behavioral Science, AI Behavioral Science
Suggested Citation: Suggested Citation
Matthew O. Jackson (Contact Author)
Stanford University - Department of Economics ( email )
Landau Economics Building
579 Serra Mall
Stanford, CA 94305-6072
United States
1-650-723-3544 (Phone)
HOME PAGE: http://www.stanford.edu/~jacksonm
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, NM 87501
United States
Qiaozhu Mei
University of Michigan at Ann Arbor ( email )
Ann Arbor, MI
United States
Stephanie Wang
University of Pittsburgh ( email )
135 N Bellefield Ave
Pittsburgh, PA 15260
United States
Yutong Xie
University of Michigan at Ann Arbor - School of Information ( email )
304 West Hall
550 East University
Ann Arbor, MI 48109-1092
United States
University of Michigan at Ann Arbor ( email )
Ann Arbor, MI
United States
Walter Yuan
MobLab
Seth G. Benzell
Chapman University ( email )
1 University Drive
Orange, CA 92866
United States
Erik Brynjolfsson
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Colin F. Camerer
California Institute of Technology (Caltech) - Division of the Humanities and Social Sciences ( email )
1200 East California Blvd.
Pasadena, CA 91125
United States
626-395-4054 (Phone)
626-432-1726 (Fax)
James A. Evans
University of Chicago - Department of Sociology ( email )
1126 East 59th Street
Chicago, IL 60637
United States
Brian Jabarian
University of Chicago - Booth School of Business ( email )
5807 S Woodlawn Ave
Chicago, IL 60637
United States
Jon Kleinberg
Cornell University - Department of Computer Science ( email )
4130 Upson Hall
Ithaca, NY 14853-7501
United States
Juanjuan Meng
Peking University - Guanghua School of Management ( email )
Peking University
Beijing, Beijing 100871
China
HOME PAGE: http://www.gsm.pku.edu.cn/faculty_and_research/en/en_teacherDetail.html?crmurl=http://crm.gsm.pku.ed
Sendhil Mullainathan
University of Chicago ( email )
1101 East 58th Street
Chicago, IL 60637
United States
Asuman E. Ozdaglar
Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science ( email )
50 Memorial Drive
Cambridge, MA 02139-4307
United States
617-324-0058 (Phone)
Thomas Pfeiffer
Massey University ( email )
Private Bag 11 222
Palmerston North, 4442
New Zealand
Moshe Tennenholtz
Independent ( email )
Robb Willer
Stanford University ( email )
Stanford, CA 94305
United States
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