IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/212.html
   My bibliography  Save this paper

Replication Report: Corrupted by Algorithms? How AI-generated And Human-written Advice Shape (Dis)Honesty

Author

Listed:
  • Deer, Lachlan
  • Krishna, Adithya
  • Zhang, Lyla

Abstract

Leib et al. (2024) examine how artificial intelligence (AI) generated advice affects dishonesty compared to equivalent human advice in a laboratory experiment. In their preferred empirical specification, the authors report that dishonesty-promoting advice increases dishonest behavior by approximately 15% compared to a baseline without advice, while honesty-promoting advice has no significant effect. Additionally, they find that algorithmic transparency - disclosing whether advice comes from AI or humans - does not affect behavior. We computationally reproduce the main results of the paper using the same procedures and original data. Our results confirm the sign, magnitude, and statistical significance of the authors' reported estimates across each of their main findings. Additional robustness checks show that the significance of the results remains stable under alternative specifications and methodological choices.

Suggested Citation

  • Deer, Lachlan & Krishna, Adithya & Zhang, Lyla, 2025. "Replication Report: Corrupted by Algorithms? How AI-generated And Human-written Advice Shape (Dis)Honesty," I4R Discussion Paper Series 212, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:212
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/313185/1/I4R-DP212.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    2. Urs Fischbacher & Franziska Föllmi-Heusi, 2013. "Lies In Disguise—An Experimental Study On Cheating," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 525-547, June.
    3. Margarita Leib & Nils Köbis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2024. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," The Economic Journal, Royal Economic Society, vol. 134(658), pages 766-784.
    Full references (including those not matched with items on IDEAS)

    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. Arnab K. Basu & Nancy H. Chau & Anustup Kundu & Kunal Sen, 2024. "Dishonesty concessions in teams: Theory and experimental insights from local politicians in India," WIDER Working Paper Series wp-2024-87, World Institute for Development Economic Research (UNU-WIDER).
    2. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    3. Guido de Blasio & Daniela Vuri, 2019. "Effects of the Joint Custody Law in Italy," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(3), pages 479-514, September.
    4. Alston Lee J. & Mueller Bernardo, 2018. "Priests, Conflicts and Property Rights: the Impacts on Tenancy and Land Use in Brazil," Man and the Economy, De Gruyter, vol. 5(1), pages 1-26, June.
    5. Johannes Abeler & Armin Falk & Fabian Kosse, 2021. "Malleability of Preferences for Honesty," CESifo Working Paper Series 9033, CESifo.
    6. MacDonald, Peter, 2013. "Labour substitution and the scope for military outsourcing," MPRA Paper 46688, University Library of Munich, Germany.
    7. Matteo Migheli, 2021. "Green purchasing: the effect of parenthood and gender," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10576-10600, July.
    8. Yuyang Li & Jiahui Li & Xinjie Li & Qian Lu, 2024. "Does Participation in Digital Supply and Marketing Promote Smallholder Farmers’ Adoption of Green Agricultural Production Technologies?," Land, MDPI, vol. 14(1), pages 1-24, December.
    9. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    10. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    11. David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack Porter, 2022. "Valid t-Ratio Inference for IV," American Economic Review, American Economic Association, vol. 112(10), pages 3260-3290, October.
    12. Maida, Agata & Pezone, Vincenzo, 2024. "CEO Pay Disclosure and Within-Firm Wage Inequality," IZA Discussion Papers 17243, Institute of Labor Economics (IZA).
    13. Knack, Steve & Xu, Lixin Colin, 2017. "Unbundling institutions for external finance: Worldwide firm-level evidence," Journal of Corporate Finance, Elsevier, vol. 44(C), pages 215-232.
    14. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    15. Heinicke, Franziska & Rosenkranz, Stephanie & Weitzel, Utz, 2019. "The effect of pledges on the distribution of lying behavior: An online experiment," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 136-151.
    16. Mónica L. Caudillo, 2019. "Advanced School Progression Relative to Age and Early Family Formation in Mexico," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 863-890, June.
    17. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    18. Augusto Mendoza Calderón, 2017. "El Efecto del Empleo sobre la Violencia Doméstica: Evidencia para las Mujeres Peruanas," Working Papers 99, Peruvian Economic Association.
    19. Abu S. Shonchoy, 2015. "Seasonal Migration and Microcredit During Agricultural Lean Seasons: Evidence from Northwest Bangladesh," The Developing Economies, Institute of Developing Economies, vol. 53(1), pages 1-26, March.
    20. Heinz Welsch, 2024. "Household Sector Carbon Pricing, Revenue Rebating, and Subjective Well-Being: A Dollar is not a Dollar," Working Papers V-444-24, University of Oldenburg, Department of Economics, revised Apr 2024.

    More about this item

    Keywords

    artificial intelligence; dishonesty; laboratory experiment; computational reproducibility;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    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:zbw:i4rdps:212. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    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.