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

January 05, 2023 Β· Declared Dead Β· πŸ› Social Science Research Network

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted