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When something goes wrong: Who is responsible for errors in ML decision-making?
(Springer, 2023)
Because of its practical advantages, machine learning (ML) is increasingly used for decision-making in numerous sectors. This paper demonstrates that the integral characteristics of ML, such as semi-autonomy, complexity, ...