Varieties of Justification in Machine Learning

Corfield, D

doi:10.1007/s11023-010-9191-1

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Varieties of Justification in Machine Learning

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https://link.springer.com/content/pdf/10.1007%2Fs11023-010-9191-1.pdf
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Corfield, D. (2010). Varieties of Justification in Machine Learning. Minds and machines: journal for artificial intelligence, philosophy and cognitive science, 20(2), 291-301. doi:10.1007/s11023-010-9191-1.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BF36-1

Abstract

Forms of justification for inductive machine learning techniques are discussed and classified into four types. This is done with a view to introduce some of these techniques and their justificatory guarantees to the attention of philosophers, and to initiate a discussion as to whether they must be treated separately or rather can be viewed consistently from within a single framework.