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Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty

Author

Listed:
  • Leib, Margarita

    (Tilburg University)

  • Köbis, Nils

    (Max Planck Institute for Human Development)

  • Rilke, Rainer Michael

    (WHU Vallendar)

  • Hagens, Marloes

    (Erasmus University Rotterdam)

  • Irlenbusch, Bernd

    (University of Cologne)

Abstract

Artificial Intelligence (AI) increasingly becomes an indispensable advisor. New ethical concerns arise if AI persuades people to behave dishonestly. In an experiment, we study how AI advice (generated by a Natural-Language-processing algorithm) affects (dis)honesty, compare it to equivalent human advice, and test whether transparency about advice source matters. We find that dishonesty-promoting advice increases dishonesty, whereas honesty-promoting advice does not increase honesty. This is the case for both AI and human advice. Algorithmic transparency, a commonly proposed policy to mitigate AI risks, does not affect behaviour. The findings mark the first steps towards managing AI advice responsibly.

Suggested Citation

  • Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16293
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    References listed on IDEAS

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    More about this item

    Keywords

    Artificial Intelligence; machine behaviour; behavioural ethics; advice;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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