AI in Business and Society
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Paper Number
1796
Paper Type
short
Description
Individuals increasingly seek algorithmic advice to optimize their decision making. This study aims to investigate the effects of receiving algorithmic advice on individuals’ attribution of responsibility for their achievements. The study is based on an experiment with a 2 x 5 design of two dimensions: achievement (success vs. failure) and advice (no advice; human-based advice with high and low expertise; and algorithmic advice with high and low accuracy). The findings from a pilot study suggest that the experimental design is largely appropriate, given that we found answers to our hypotheses. This short paper provides valuable insights for future research on the attribution of responsibility for success and failure when receiving algorithmic advice.
Recommended Citation
Passlack, Nina Katharina; Heyder, Teresa; Klemm, Falco; and Posegga, Oliver, "How Human-AI Collaboration Affects Attribution of Responsibility for Failure and Success" (2023). ICIS 2023 Proceedings. 15.
https://aisel.aisnet.org/icis2023/aiinbus/aiinbus/15
How Human-AI Collaboration Affects Attribution of Responsibility for Failure and Success
Individuals increasingly seek algorithmic advice to optimize their decision making. This study aims to investigate the effects of receiving algorithmic advice on individuals’ attribution of responsibility for their achievements. The study is based on an experiment with a 2 x 5 design of two dimensions: achievement (success vs. failure) and advice (no advice; human-based advice with high and low expertise; and algorithmic advice with high and low accuracy). The findings from a pilot study suggest that the experimental design is largely appropriate, given that we found answers to our hypotheses. This short paper provides valuable insights for future research on the attribution of responsibility for success and failure when receiving algorithmic advice.
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