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Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots

Author

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  • Brice Corgnet

    (EM - EMLyon Business School, GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Because work is most often performed in a social context, social incentives are key to understand incentive setting in firms. We assess the strength of social incentives, which critically depend on the extent of social preferences and social pressure at work, by assessing the difference in human performance when people complete a sequential task with either other humans or robots. We find evidence that, despite maintaining monetary incentives intact, humans who work with robots underperform those who work with other humans, especially under team pay. The lack of altruism toward robots and the lack of social pressure exerted by robots are key to explain this negative effect under team pay. Under piece rate, the lack of envy toward robots plays a crucial role. Regardless of the payment scheme, our findings show that social incentives are powerful. Accounting for the weakening of social incentives when assessing the cost-efficiency of replacing humans with robots is thus critical.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
  • Handle: RePEc:hal:journl:halshs-01984467
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    1. is not listed on IDEAS
    2. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    3. Brice Corgnet, 2023. "An Experimental Test of Algorithmic Dismissals," Working Papers 23-02, Chapman University, Economic Science Institute.
    4. Brice Corgnet & Brian Gunia & Roberto Hernán González, 2021. "Harnessing the power of social incentives to curb shirking in teams," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 139-167, February.
    5. Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Diffused Pivotality," Working Papers 2111, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    6. Iván Barreda-Tarrazona & Ainhoa Jaramillo-Gutiérrez & Marina Pavan & Gerardo Sabater-Grande, 2021. "The “Human Factor” in Prisoner’s Dilemma Cooperation," Working Papers 2021/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    8. Strobel, Christina, 2022. "The Hidden Costs of Automation," VfS Annual Conference 2022 (Basel): Big Data in Economics 264129, Verein für Socialpolitik / German Economic Association.

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