Human Decision Making in AI Augmented Systems: Evidence from the Initial Coin Offering Market
نویسندگان
چکیده
The growing consensus that human intelligence and artificial are complementary has led to Human-AI hybrid systems. As digital platforms incorporating human-AI hybrids, platform designers need evaluate the influence of AI on judgment, how such systems perform. In this paper, we investigate: Are decisions influenced by agents in high uncertainty environments, as evaluating ICO projects? Under what situations humans able mitigate agents-induced errors? Our results suggest general, agents. Humans tend use a filter rule out low quality projects, while rating triggers expert apply their own judgment.
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ژورنال
عنوان ژورنال: Proceedings of the ... Annual Hawaii International Conference on System Sciences
سال: 2021
ISSN: ['2572-6862', '1530-1605']
DOI: https://doi.org/10.24251/hicss.2021.020