Deep Learning and Knowledge

Donald Angus Gillies

doi:10.20944/preprints202410.1221.v1

Preprint Article Version 1 This version is not peer-reviewed

Version 1 : Received: 15 October 2024 / Approved: 15 October 2024 / Online: 16 October 2024 (03:42:11 CEST)

This paper considers the question of what kind of knowledge is produced by deep learning. Ryle’s concept of knowledge how is examined and is contrasted with knowledge with a rationale. It is then argued that deep neural networks do produce knowledge how, but, because of their opacity, they do not in general, though there may be some special cases to the contrary, produce knowledge with a rationale. It is concluded that the distinction between knowledge how and knowledge with a rationale is a useful one for judging whether a particular application of deep learning AI is appropriate.

Deep Learning; Opaqueness; Knowledge How; Knowledge with a Rationale

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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Deep Learning and Knowledge

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