Impact of AI on Human Decision-Making: Analysis of Human, AI, and Environment of Interaction

Abstract

In recent years, the application of AI in the decision-making field is increasing, and AI is frequently and deeply involved in every aspect of decision-making. As AI-assisted decision-making is becoming an important intersection of computer science and psychology, there is an emerging need for understanding how would AI affect peoples decision-making. Due to the rapid development of AI technology, a gap of literature reviews considering this field has arisen. In response, this article systematically reviews previous related researches from the classic perspectives of human-computer interaction: human, AI, and the environment of interaction, and each section contains several sub aspects. In detail, explainability and presentation of AIs decision, preference and demographic variables of human, and three specific circumstances of interaction are included. In addition, some principled issues such as research ethics have also been discussed. In sum, this article organizes structured empirical evidence for ongoing related researches, summarizes the shortcomings of previous researches, and proposes possible directions for more in-depth researches.

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