@TechReport{iza:izadps:dp16293,
            	author={Leib, Margarita and Köbis, Nils and Rilke, Rainer Michael and Hagens, Marloes and Irlenbusch, Bernd},
            	title={Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty},
            	year={2023},
	month={Jul},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={16293},
            	url={https://www.iza.org/index.php/publications/dp16293},
	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.},
	keywords={behavioural ethics;machine behaviour;Artificial Intelligence;advice},
            }