IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/2111.html
   My bibliography  Save this paper

Artificial Intelligence, Ethics, and Diffused Pivotality

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2021/2111.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 817-869.
    2. 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.
    3. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    11. 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.
    12. Benabou, Roland & Falk, Armin & Tirole, Jean, 2018. "Narratives, Imperatives, and Moral Reasoning," IZA Discussion Papers 11665, Institute of Labor Economics (IZA).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. A Falk & T Neuber & N Szech, 2020. "Diffusion of Being Pivotal and Immoral Outcomes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2205-2229.
    20. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    21. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    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. 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.
    24. 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.
    25. 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.
    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.
    27. repec:cup:judgdm:v:3:y:2008:i:7:p:483-492 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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.
    2. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social preferences and the variability of conditional cooperation," Discussion Papers 2022-13, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    3. Rezaei, Sarah & Rosenkranz, Stephanie & Weitzel, Utz & Westbrock, Bastian, 2024. "Social preferences on networks," Journal of Public Economics, Elsevier, vol. 234(C).
    4. Brice Corgnet, 2023. "An Experimental Test of Algorithmic Dismissals," Working Papers 2302, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Dimant, Eugen, 2015. "On Peer Effects: Behavioral Contagion of (Un)Ethical Behavior and the Role of Social Identity," MPRA Paper 68732, University Library of Munich, Germany.
    6. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    7. Fehr, Dietmar & Müller, Daniel & Preuss, Marcel, 2024. "Social mobility perceptions and inequality acceptance," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 366-384.
    8. Tatarnikova, Olga & Duchêne, Sébastien & Sentis, Patrick & Willinger, Marc, 2023. "Portfolio instability and socially responsible investment: Experiments with financial professionals and students," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    9. Gary E. Bolton & Eugen Dimant & Ulrich Schmidt, 2020. "When a Nudge Backfires: Combining (Im)Plausible Deniability with Social and Economic Incentives to Promote Behavioral Change," CESifo Working Paper Series 8070, CESifo.
    10. Ghidoni, Riccardo, 2017. "Mistrust and Opposition to Large-Scale Projects : An Experiment on the Role of Uncertainty," Discussion Paper 2017-053, Tilburg University, Center for Economic Research.
    11. Gary Bolton & Eugen Dimant & Ulrich Schmidt, 2018. "When a Nudge Backfires. Using Observation with Social and Economic Incentives to Promote Pro-Social Behavior," PPE Working Papers 0017, Philosophy, Politics and Economics, University of Pennsylvania.
    12. Cabeza Martínez, Begoña, 2023. "Social preferences, support for redistribution, and attitudes towards vulnerable groups," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    13. Carpenter, Jeffrey & Robbett, Andrea, 2024. "Measuring socially appropriate social preferences," Games and Economic Behavior, Elsevier, vol. 147(C), pages 517-532.
    14. Leibbrandt, Andreas & López-Pérez, Raúl & Spiegelman, Eli, 2023. "Reciprocal, but inequality averse as well? Mixed motives for punishment and reward," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 91-116.
    15. 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.
    16. Hedegaard, Morten & Kerschbamer, Rudolf & Müller, Daniel & Tyran, Jean-Robert, 2021. "Distributional preferences explain individual behavior across games and time," Games and Economic Behavior, Elsevier, vol. 128(C), pages 231-255.
    17. Fabio Galeotti & Maria Montero & Anders Poulsen, 2022. "The Attraction and Compromise Effects in Bargaining: Experimental Evidence," Management Science, INFORMS, vol. 68(4), pages 2987-3007, April.
    18. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    19. Bolton, Gary & Dimant, Eugen & Schmidt, Ulrich, 2021. "Observability and social image: On the robustness and fragility of reciprocity," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 946-964.
    20. Luigi Butera & John A. List, 2017. "An Economic Approach to Alleviate the Crises of Confidence in Science: With an Application to the Public Goods Game," NBER Working Papers 23335, National Bureau of Economic Research, Inc.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gat:wpaper:2111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nelly Wirth (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.