Paper ID

3460

Paper Type

short

Description

As artificial intelligence is increasingly used in assisting and augmenting different tasks, it is now imperative to understand how A.I. influences human decision making. Using data collected from a leading ICO evaluation platform, we empirically investigate whether and how human domain experts’ judgments are influenced by A.I. bots. Our preliminary results suggest that experts are consistently influenced by artificial intelligence regardless of whether the project is successful or not, and whether the A.I. bot’s evaluation was correct or wrong. Our results also indicate that going through a Pre-ICO stage reduces information asymmetry and therefore mitigates the influence of A.I. on experts. This paper contributes to the nascent literature in the areas of human-A.I. interaction, A.I.-facilitated decision making and A.I.-induced biases.

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Impact of Artificial Intelligence on Human Decision Making on ICO Platforms

As artificial intelligence is increasingly used in assisting and augmenting different tasks, it is now imperative to understand how A.I. influences human decision making. Using data collected from a leading ICO evaluation platform, we empirically investigate whether and how human domain experts’ judgments are influenced by A.I. bots. Our preliminary results suggest that experts are consistently influenced by artificial intelligence regardless of whether the project is successful or not, and whether the A.I. bot’s evaluation was correct or wrong. Our results also indicate that going through a Pre-ICO stage reduces information asymmetry and therefore mitigates the influence of A.I. on experts. This paper contributes to the nascent literature in the areas of human-A.I. interaction, A.I.-facilitated decision making and A.I.-induced biases.