Expert–Machine Collaborative Decision Making: We Need Healthy Competition

Abstract

Much has been written and discussed in previous years about human–AI interaction. However, the debate so far has mainly concentrated on “average” decision makers, neglecting important differences when it is experts who require support. In this article, we are going to talk about expert–machine collaboration for decision-making. We investigate the current approaches for expert decision support and exemplify the inefficiency of this approach for a real clinical decision-making problem. We propose two solutions for expert–machine collaboration to overcome the shortcomings of the current state of the art. We think that the proposed approaches open new horizons for expert–machine collaborative decision-making.

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