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Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty (2301.01954v1)

Published 5 Jan 2023 in cs.HC, econ.GN, and q-fin.EC

Abstract: 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.

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Authors (5)
  1. Margarita Leib (2 papers)
  2. Nils Köbis (7 papers)
  3. Rainer Michael Rilke (2 papers)
  4. Marloes Hagens (2 papers)
  5. Bernd Irlenbusch (2 papers)
Citations (19)

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