The effects of shared policy of medical treatment on trust in artificial intelligence

Abstract

This study examined trust in artificial intelligence in medical care and identified its determinants. Studies on risk perception have found that perceived ability, integrity, and value similarity determine trust in risk managers. Further, engineering studies on trust in artificial intelligence have suggested that perceived ability and integrity determine trust. However, few researchers have examined whether perceived value similarity affects trust in artificial intelligence. We employed a situation assumption method and focused on the shared policy of medical treatment. In Study 1 (n=165), the results revealed that the shared policy of medical treatment enhanced participants' trust in artificial intelligence, as it did in humans. In addition, artificial intelligence was less trusted than humans were. Study 2 (n=139) replicated the experiment conducted in Study 1 by improving items for manipulation check. The results of Study 2 mostly reproduced those of Study 1. Empirical implications of the findings are discussed.