%0 Report
        %A Leib, Margarita
%A Köbis, Nils
%A Rilke, Rainer Michael
%A Hagens, Marloes
%A Irlenbusch, Bernd
        %T Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty
        %D 2023
        %8 2023 Jul
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 16293
        %U https://www.iza.org/index.php/publications/dp16293
        %X 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.
        %K behavioural ethics
%K machine behaviour
%K Artificial Intelligence
%K advice