Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty

Margarita Leib, Nils K\"obis, Rainer Michael Rilke, Marloes Hagens and Bernd Irlenbusch

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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.

Date: 2023-01
New Economics Papers: this item is included in nep-big, nep-cbe, nep-cmp and nep-exp
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