The Effect of AI Advice on Human Confidence in Decision-Making

dc.contributor.author Taudien, Anna
dc.contributor.author Fügener, Andreas
dc.contributor.author Gupta, Alok
dc.contributor.author Ketter, Wolfgang
dc.date.accessioned 2021-12-24T17:17:46Z
dc.date.available 2021-12-24T17:17:46Z
dc.date.issued 2022-01-04
dc.description.abstract As artificial intelligence advances, it can increasingly be applied in collaborative decision-making contexts with humans. However, questions on the design of different collaborative environments remain open. In the context of AI-assisted human decision-making processes, we analyze the influence of AI advice on human confidence in the final decision. In a laboratory experiment, 458 subjects performed an image classification task. We compare their confidence over three treatments: i) a baseline case where subjects do not receive any AI advice; ii) where subjects receive AI advice; and iii) in addition to AI advice subjects also see the certainty of AI for its choice. Our results suggest that while AI advice can increase human overconfidence, this effect can be mitigated by augmenting the AI advice with its certainty. Our result not only contributes to the growing literature of human-AI collaboration, but also bears important practical implications for the design of collaborative systems.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2022.029
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79359
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Applications of Human-AI Collaboration: Insights from Theory and Practice
dc.subject ai advice
dc.subject group decisions
dc.subject human-ai collaboration
dc.subject human confidence
dc.title The Effect of AI Advice on Human Confidence in Decision-Making
dc.type.dcmi text
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