Evidence, computation and AI : why evidence is not just in the head

Darrell P. ROWBOTTOM*, André CURTIS-TRUDEL, William PEDEN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Can scientific evidence outstretch what scientists have mentally entertained, or could ever entertain? This article focuses on the plausibility and consequences of an affirmative answer in a special case. Specifically, it discusses how we may treat automated scientific data-gathering systems - especially AI systems used to make predictions or to generate novel theories - from the point of view of confirmation theory. It uses AlphaFold2 as a case study.
Original languageEnglish
Article number11
Number of pages17
JournalAsian Journal of Philosophy
Volume2
Issue number1
Early online date4 Apr 2023
DOIs
Publication statusE-pub ahead of print - 4 Apr 2023

Bibliographical note

The work described in this paper was fully supported by a Senior Research Fellowship award from the Research Grants Council of the Hong Kong SAR, China (‘Philosophy of Contemporary and Future Science’, Project no. SRFS2122-3H01).

Keywords

  • Evidence
  • artificial intelligence
  • Machine Learning
  • Confirmation
  • Deep neural netowrks
  • AlphaFold2

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