A review of possible effects of cognitive biases on interpretation of rule-based machine learning models

Volume: 295, Pages: 103458 - 103458
Published: Jun 1, 2021
Abstract
While the interpretability of machine learning models is often equated with their mere syntactic comprehensibility, we think that interpretability goes beyond that, and that human interpretability should also be investigated from the point of view of cognitive science. The goal of this paper is to discuss to what extent cognitive biases may affect human understanding of interpretable machine learning models, in particular of logical rules...
Paper Details
Title
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models
Published Date
Jun 1, 2021
Volume
295
Pages
103458 - 103458
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