Reliability in Machine Learning
Thomas H. Grote, Konstantin Genin, Emily Sullivan · Philosophy Compass · 2024
Abstract Issues of reliability are claiming center‐stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning – as far as they are concerned with reliability.