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

Darrell P. ROWBOTTOM; André CURTIS-TRUDEL; William PEDEN

doi:10.1007/s44204-023-00061-7

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

Department of Philosophy

Research output: Journal Publications › Journal 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 language	English
Article number	11
Number of pages	17
Journal	Asian Journal of Philosophy
Volume	2
Issue number	1
Early online date	4 Apr 2023
DOIs	https://doi.org/10.1007/s44204-023-00061-7
Publication status	E-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

Access to Document

10.1007/s44204-023-00061-7

Philosophy of Contemporary and Future Science
ROWBOTTOM, D. P.
Research Grants Council (HKSAR)
1/01/22 → 31/12/26
Project: Grant Research

Cite this

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

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.",

keywords = "Evidence, artificial intelligence, Machine Learning, Confirmation, Deep neural netowrks, AlphaFold2",

author = "ROWBOTTOM, {Darrell P.} and Andr{\'e} CURTIS-TRUDEL and William PEDEN",

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 ({\textquoteleft}Philosophy of Contemporary and Future Science{\textquoteright}, Project no. SRFS2122-3H01).",

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AU - PEDEN, William

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AB - 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.

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

Abstract

Bibliographical note

Keywords

Access to Document

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Projects

Philosophy of Contemporary and Future Science

Cite this