Human decision making in AI augmented systems: Evidence from the initial coin offering market

Saunak Basu, Aravinda Garimella, Wencui Han, Alan R. Dennis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The growing consensus that human intelligence and artificial intelligence are complementary has led to Human-AI hybrid systems. As digital platforms incorporating human-AI hybrids, platform designers need to evaluate the influence of AI on human judgment, and how such hybrid systems perform. In this paper, we investigate: Are human decisions influenced by AI agents in high uncertainty environments, such as evaluating ICO projects? Under what situations are humans able to mitigate AI agents-induced errors? Our results suggest that in general, humans are influenced by AI agents. Humans tend to use AI as a filter to rule out low quality projects, while a high AI rating triggers human expert to apply their own judgment.

Original languageEnglish (US)
Title of host publicationProceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages176-185
Number of pages10
ISBN (Electronic)9780998133140
StatePublished - 2021
Event54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online
Duration: Jan 4 2021Jan 8 2021

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference54th Annual Hawaii International Conference on System Sciences, HICSS 2021
CityVirtual, Online
Period1/4/211/8/21

ASJC Scopus subject areas

  • General Engineering

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