Web: http://arxiv.org/abs/2007.04800

May 4, 2022, 1:12 a.m. | Sebastian Bordt, Ulrike von Luxburg

cs.LG updates on arXiv.org arxiv.org

Applications of machine learning inform human decision makers in a broad
range of tasks. The resulting problem is usually formulated in terms of a
single decision maker. We argue that it should rather be described as a
two-player learning problem where one player is the machine and the other the
human. While both players try to optimize the final decision, the setup is
often characterized by (1) the presence of private information and (2) opacity,
that is imperfect understanding between …

arxiv decision decision making human information machine making model

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