Basu, SaunakGarimella, AravindaHan, WencuiDennis, Alan2020-12-242020-12-242021-01-05978-0-9981331-4-0http://hdl.handle.net/10125/70631The 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.10 pagesEnglishAttribution-NonCommercial-NoDerivatives 4.0 InternationalAI and Future of Workcrowdfundingdigital platformshuman-ai interactionindividual cognitioninitial coin offeringHuman Decision Making in AI Augmented Systems: Evidence from the Initial Coin Offering Market10.24251/HICSS.2021.020