Human Decision Making in AI Augmented Systems: Evidence from the Initial Coin Offering Market

Date
2021-01-05
Authors
Basu, Saunak
Garimella, Aravinda
Han, Wencui
Dennis, Alan
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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.
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AI and Future of Work, crowdfunding, digital platforms, human-ai interaction, individual cognition, initial coin offering
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