Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty
January 05, 2023 Β· Declared Dead Β· π Social Science Research Network
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Authors
Margarita Leib, Nils KΓΆbis, Rainer Michael Rilke, Marloes Hagens, Bernd Irlenbusch
arXiv ID
2301.01954
Category
cs.HC: Human-Computer Interaction
Cross-listed
econ.GN
Citations
42
Venue
Social Science Research Network
Last Checked
3 months ago
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.
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