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Ruled by Robots: Preference for Algorithmic Decision Makers and Perceptions of Their Choices

Author

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  • Marina Chugunova

    (Max Planck Institute for Innovation and Competition)

  • Wolfgang Luhan

    (University of Portsmouth)

Abstract

As technology-assisted decision-making is becoming more widespread, it is important to understand how the algorithmic nature of the decisionmaker affects how decisions are perceived by the affected people. We use a laboratory experiment to study the preference for human or algorithmic decision makers in re-distributive decisions. In particular, we consider whether algorithmic decision maker will be preferred because of its unbiasedness. Contrary to previous findings, the majority of participants (over 60%) prefer the algorithm as a decision maker over a human—but this is not driven by concerns over biased decisions. Yet, despite this preference, the decisions made by humans are regarded more favorably. Participants judge the decisions to be equally fair, but are nonetheless less satisfied with the AI decisions. Subjective ratings of the decisions are mainly driven by own material interests and fairness ideals. For the latter, players display remarkable flexibility: they tolerate any explainable deviation between the actual decision and their ideals, but react very strongly and negatively to redistribution decisions that do not fit any fairness ideals. Our results suggest that even in the realm of moral decisions algorithmic decision-makers might be preferred, but actual performance of the algorithm plays an important role in how the decisions are rated.

Suggested Citation

  • Marina Chugunova & Wolfgang Luhan, 2023. "Ruled by Robots: Preference for Algorithmic Decision Makers and Perceptions of Their Choices," Rationality and Competition Discussion Paper Series 439, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:439
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    1. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    2. Philip Mellizo & Jeffrey Carpenter & Peter Hans Matthews, 2014. "Workplace democracy in the lab," Industrial Relations Journal, Wiley Blackwell, vol. 45(4), pages 313-328, July.
    3. Danilov, Anastasia & Chugunova, Marina, 2022. "Use of digital technologies for HR management in Germany: Survey evidence," MPRA Paper 111530, University Library of Munich, Germany.
    4. Axel Ockenfels & Gary E. Bolton, 2000. "ERC: A Theory of Equity, Reciprocity, and Competition," American Economic Review, American Economic Association, vol. 90(1), pages 166-193, March.
    5. Wolfgang J. Luhan & Odile Poulsen & Michael W. M. Roos, 2019. "Money or morality: fairness ideals in unstructured bargaining," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(4), pages 655-675, December.
    6. Sausgruber, Rupert & Sonntag, Axel & Tyran, Jean-Robert, 2021. "Disincentives from redistribution: evidence on a dividend of democracy," European Economic Review, Elsevier, vol. 136(C).
    7. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    8. David Arnold & Will Dobbie & Peter Hull, 2021. "Measuring Racial Discrimination in Algorithms," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 49-54, May.
    9. James Konow, 2003. "Which Is the Fairest One of All? A Positive Analysis of Justice Theories," Journal of Economic Literature, American Economic Association, vol. 41(4), pages 1188-1239, December.
    10. Sebastian Hülle & Stefan Liebig & Meike Janina May, 2018. "Measuring Attitudes Toward Distributive Justice: The Basic Social Justice Orientations Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 663-692, April.
    11. Gogoll, Jan & Uhl, Matthias, 2018. "Rage against the machine: Automation in the moral domain," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 97-103.
    12. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.
    13. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    14. Yan Chen & Sherry Xin Li, 2009. "Group Identity and Social Preferences," American Economic Review, American Economic Association, vol. 99(1), pages 431-457, March.
    15. Gallier, Carlo, 2020. "Democracy and compliance in public goods games," European Economic Review, Elsevier, vol. 121(C).
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    Cited by:

    1. Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2022. "Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence," Discussion Papers, Research Unit: Market Behavior SP II 2022-202, WZB Berlin Social Science Center.

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    More about this item

    Keywords

    delegation; algorithm aversion; redistribution; fairness;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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