Reliability in Machine Learning
Publication date
2024-05
Authors
Grote, Thomas
Genin, Konstantin
Sullivan, Emily
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by
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.
Keywords
Philosophy
Citation
Grote, T, Genin, K & Sullivan, E 2024, 'Reliability in Machine Learning', Philosophy Compass, vol. 19, no. 5, e12974. https://doi.org/10.1111/phc3.12974