Seminars

Abstract: We experimentally investigate the relationship between the participants’ reliance on the algorithm, their familiarity with the task, and the performance level of the algorithm. We found that, when participants could freely decide on their final forecast after observing the one by the algorithm (condition that found to mitigate algorithm aversion), the average degree of reliance on high and low performing algorithm were not significantly different. Experienced participants relied less, compared to inexperienced ones, on the algorithm, regardless of its performance level. The reliance on the low performing algorithm was positive even when participants could infer they outperformed the algorithm. Indeed, participants would have done better without relying on the low performing algorithm at all. Our results suggest that, at least in some domains, an excessive reliance on algorithms should be of a concern, instead of the algorithm aversion.

* 본 세미나는 VEAEBES(Virtual East Asia Experimental and Behavioral Economics Seminar series) 주최로 열리는 세미나입니다.

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* 본 세미나는  BK 관련 세미나 참석으로 인정됩니다.