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.
Original language | English |
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Journal | The Economic Journal |
DOIs | |
Publication status | Published - 11 Sept 2023 |
Externally published | Yes |
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Testing Artificial Intelligence Regulation: Is algorithmic transparency enough?
Köbis, N., Leib, M., Rilke, R. M., Hagens, M. & Irlenbusch, B.
27/11/23
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