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

Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz

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…