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AI Recommendations and Non-instrumental Image Concerns

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  • David Almog

Abstract

There is growing enthusiasm about the potential for humans and AI to collaborate by leveraging their respective strengths. Yet in practice, this promise often falls short. This paper uses an online experiment to identify non-instrumental image concerns as a key reason individuals underutilize AI recommendations. I show that concerns about how one is perceived, even when those perceptions carry no monetary consequences, lead participants to disregard AI advice and reduce task performance.

Suggested Citation

  • David Almog, 2025. "AI Recommendations and Non-instrumental Image Concerns," Papers 2504.19047, arXiv.org.
  • Handle: RePEc:arx:papers:2504.19047
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    1. Mitchell Hoffman & Lisa B Kahn & Danielle Li, 2018. "Discretion in Hiring," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 765-800.
    2. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    3. Leonardo Bursztyn & Robert Jensen, 2017. "Social Image and Economic Behavior in the Field: Identifying, Understanding, and Shaping Social Pressure," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 131-153, September.
    4. Leonardo Bursztyn & Georgy Egorov & Robert Jensen, 2019. "Cool to be Smart or Smart to be Cool? Understanding Peer Pressure in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1487-1526.
    5. Stefano Dellavigna & John A. List & Ulrike Malmendier & Gautam Rao, 2017. "Voting to Tell Others," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(1), pages 143-181.
    6. Alex Albright, 2024. "The Hidden Effects of Algorithmic Recommendations," Opportunity and Inclusive Growth Institute Working Papers 104, Federal Reserve Bank of Minneapolis.
    7. Leonardo Bursztyn & Bruno Ferman & Stefano Fiorin & Martin Kanz & Gautam Rao, 2018. "Status Goods: Experimental Evidence from Platinum Credit Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1561-1595.
    8. Lea Cassar & Stephan Meier, 2018. "Nonmonetary Incentives and the Implications of Work as a Source of Meaning," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 215-238, Summer.
    9. Luigi Butera & Robert Metcalfe & William Morrison & Dmitry Taubinsky, 2022. "Measuring the Welfare Effects of Shame and Pride," American Economic Review, American Economic Association, vol. 112(1), pages 122-168, January.
    10. Friedrichsen, Jana & König, Tobias & Schmacker, Renke, 2018. "Social image concerns and welfare take-up," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 168, pages 174-192.
    11. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    12. Enno Siemsen, 2008. "The Hidden Perils of Career Concerns in R& D Organizations," Management Science, INFORMS, vol. 54(5), pages 863-877, May.
    13. Tore Ellingsen & Magnus Johannesson, 2008. "Pride and Prejudice: The Human Side of Incentive Theory," American Economic Review, American Economic Association, vol. 98(3), pages 990-1008, June.
    14. Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2018. "Human Decisions and Machine Predictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 237-293.
    15. Bnaya Dreyfuss & Raphael Raux, 2024. "Human Learning about AI," Papers 2406.05408, arXiv.org, revised Feb 2025.
    16. Elena Katok & Enno Siemsen, 2011. "Why Genius Leads to Adversity: Experimental Evidence on the Reputational Effects of Task Difficulty Choices," Management Science, INFORMS, vol. 57(6), pages 1042-1054, June.
    17. Marta Serra-Garcia & Uri Gneezy, 2023. "Improving Human Deception Detection Using Algorithmic Feedback," CESifo Working Paper Series 10518, CESifo.
    18. Ricardo Perez-Truglia & Guillermo Cruces, 2017. "Partisan Interactions: Evidence from a Field Experiment in the United States," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1208-1243.
    19. Andrew Caplin & David J. Deming & Shangwen Li & Daniel J. Martin & Philip Marx & Ben Weidmann & Kadachi Jiada Ye, 2024. "The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and Calibration," NBER Working Papers 33021, National Bureau of Economic Research, Inc.
    20. Daniel Zizzo, 2010. "Experimenter demand effects in economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(1), pages 75-98, March.
    21. Anne Karing, 2024. "Social Signaling and Childhood Immunization: A Field Experiment in Sierra Leone," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(4), pages 2083-2133.
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