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AI Oversight and Human Mistakes: Evidence from Centre Court

Author

Listed:
  • David Almog
  • Romain Gauriot
  • Lionel Page
  • Daniel Martin

Abstract

Powered by the increasing predictive capabilities of machine learning algorithms, artificial intelligence (AI) systems have begun to be used to overrule human mistakes in many settings. We provide the first field evidence this AI oversight carries psychological costs that can impact human decision-making. We investigate one of the highest visibility settings in which AI oversight has occurred: the Hawk-Eye review of umpires in top tennis tournaments. We find that umpires lowered their overall mistake rate after the introduction of Hawk-Eye review, in line with rational inattention given psychological costs of being overruled by AI. We also find that umpires increased the rate at which they called balls in, which produced a shift from making Type II errors (calling a ball out when in) to Type I errors (calling a ball in when out). We structurally estimate the psychological costs of being overruled by AI using a model of rational inattentive umpires, and our results suggest that because of these costs, umpires cared twice as much about Type II errors under AI oversight.

Suggested Citation

  • David Almog & Romain Gauriot & Lionel Page & Daniel Martin, 2024. "AI Oversight and Human Mistakes: Evidence from Centre Court," Papers 2401.16754, arXiv.org, revised Feb 2024.
    • Handle: RePEc:arx:papers:2401.16754
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    References listed on IDEAS

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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. Andrew Caplin & Daniel Martin, 2015. "A Testable Theory of Imperfect Perception," Economic Journal, Royal Economic Society, vol. 125(582), pages 184-202, February.
    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. Aaron Chalfin & Oren Danieli & Andrew Hillis & Zubin Jelveh & Michael Luca & Jens Ludwig & Sendhil Mullainathan, 2016. "Productivity and Selection of Human Capital with Machine Learning," American Economic Review, American Economic Association, vol. 106(5), pages 124-127, May.
    5. 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.
    6. Filip Matêjka & Alisdair McKay, 2015. "Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model," American Economic Review, American Economic Association, vol. 105(1), pages 272-298, January.
    7. Wayne B. Gray & Jay P. Shimshack, 2011. "The Effectiveness of Environmental Monitoring and Enforcement: A Review of the Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 3-24, Winter.
    8. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    9. Daniel S. Nagin & James B. Rebitzer & Seth Sanders & Lowell J. Taylor, 2002. "Monitoring, Motivation, and Management: The Determinants of Opportunistic Behavior in a Field Experiment," American Economic Review, American Economic Association, vol. 92(4), pages 850-873, September.
    10. Benjamin A. Olken, 2007. "Monitoring Corruption: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 115(2), pages 200-249.
    11. Kirby Nielsen & John Rehbeck, 2022. "When Choices Are Mistakes," American Economic Review, American Economic Association, vol. 112(7), pages 2237-2268, July.
    12. 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.
    13. Andrew Caplin & Mark Dean, 2013. "Behavioral Implications of Rational Inattention with Shannon Entropy," NBER Working Papers 19318, National Bureau of Economic Research, Inc.
    14. Greer K. Gosnell & John A. List & Robert D. Metcalfe, 2020. "The Impact of Management Practices on Employee Productivity: A Field Experiment with Airline Captains," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1195-1233.
    15. Vivek Bhattacharya & Greg Howard, 2022. "Rational Inattention in the Infield," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 348-393, November.
    16. Gustavo J. Bobonis & Luis R. Cámara Fuertes & Rainer Schwabe, 2016. "Monitoring Corruptible Politicians," American Economic Review, American Economic Association, vol. 106(8), pages 2371-2405, August.
    17. Nikhil Agarwal & Alex Moehring & Pranav Rajpurkar & Tobias Salz, 2023. "Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology," NBER Working Papers 31422, National Bureau of Economic Research, Inc.
    18. Ely, Jeffrey & Gauriot, Romain & Page, Lionel, 2017. "Do agents maximise? Risk taking on first and second serves in tennis," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 135-142.
    19. David C Chan & Matthew Gentzkow & Chuan Yu, 2022. "Selection with Variation in Diagnostic Skill: Evidence from Radiologists [The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 729-783.
    20. Ran Abramitzky & Liran Einav & Shimon Kolkowitz & Roy Mill, 2012. "On The Optimality Of Line Call Challenges In Professional Tennis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 939-964, August.
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