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Artificial Intelligence, Ethics, and Diffused Pivotality

Author

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  • Victor Klockmann

    (Goethe University Frankfurt, Theodor-W.-Adorno-Platz 4, 60323 Frankfurt, Germany. Center for Humans & Machines, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany)

  • Alicia von Schenk

    (Goethe University Frankfurt, Theodor-W.-Adorno-Platz 4, 60323 Frankfurt, Germany. Center for Humans & Machines, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.)

  • Marie Claire Villeval

    (Univ Lyon, CNRS, GATE UMR 5824, 93 Chemin des Mouilles, F-69130, Ecully, France. IZA, Bonn, Germany)

Abstract

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the sources of training data and thus the impact of each individual’s decisions on the algorithm. Diffusing such individual pivotality for algorithmic choices increased the share of selfish decisions and weakened revealed prosocial preferences. This does not result from a change in the structure of incentives. Rather, our results show that Big Data offers an excuse for selfish behavior through lower responsibility for one’s and others’ fate.

Suggested Citation

  • 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.
  • Handle: RePEc:gat:wpaper:2111
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    1. Ferraro, Paul J. & Rondeau, Daniel & Poe, Gregory L., 2003. "Detecting other-regarding behavior with virtual players," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 99-109, May.
    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. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    4. Bartling, Björn & Fischbacher, Urs & Schudy, Simeon, 2015. "Pivotality and responsibility attribution in sequential voting," Journal of Public Economics, Elsevier, vol. 128(C), pages 133-139.
    5. Charness, Gary & Gneezy, Uri & Halladay, Brianna, 2016. "Experimental methods: Pay one or pay all," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 141-150.
    6. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    7. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    8. Benabou, Roland & Falk, Armin & Tirole, Jean, 2018. "Narratives, Imperatives, and Moral Reasoning," IZA Discussion Papers 11665, Institute of Labor Economics (IZA).
    9. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, Oxford University Press, vol. 114(3), pages 817-868.
    10. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    11. Nicolas Houy & Jean-Philippe Nicolaï & Marie Claire Villeval, 2020. "Always doing your best? Effort and performance in dynamic settings," Theory and Decision, Springer, vol. 89(3), pages 249-286, October.
    12. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    13. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    14. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "Correction to: The Many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1335-1335.
    15. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    16. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, Oxford University Press, vol. 117(3), pages 817-869.
    17. Daniel Houser & Robert Kurzban, 2002. "Revisiting Kindness and Confusion in Public Goods Experiments," American Economic Review, American Economic Association, vol. 92(4), pages 1062-1069, September.
    18. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.
    19. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2018. "Incentives in Experiments: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1472-1503.
    20. A Falk & T Neuber & N Szech, 2020. "Diffusion of Being Pivotal and Immoral Outcomes," Review of Economic Studies, Oxford University Press, vol. 87(5), pages 2205-2229.
    21. repec:cup:judgdm:v:3:y:2008:i:7:p:483-492 is not listed on IDEAS
    22. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    23. Frey, Bruno S & Oberholzer-Gee, Felix, 1997. "The Cost of Price Incentives: An Empirical Analysis of Motivation Crowding-Out," American Economic Review, American Economic Association, vol. 87(4), pages 746-755, September.
    24. Takafumi Yamakawa & Yoshitaka Okano & Tatsuyoshi Saijo, 2016. "Detecting motives for cooperation in public goods experiments," Experimental Economics, Springer;Economic Science Association, vol. 19(2), pages 500-512, June.
    25. Asen Ivanov & Dan Levin & Muriel Niederle, 2010. "Can Relaxation of Beliefs Rationalize the Winner's Curse?: An Experimental Study," Econometrica, Econometric Society, vol. 78(4), pages 1435-1452, July.
    26. Frey, Bruno S & Oberholzer-Gee, Felix & Eichenberger, Reiner, 1996. "The Old Lady Visits Your Backyard: A Tale of Morals and Markets," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1297-1313, December.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    Artificial Intelligence; Big Data; Pivotality; Ethics; Experiment;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D10 - Microeconomics - - Household Behavior - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • 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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