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Instrumental Perspectivism: Is AI Machine Learning Technology like NMR Spectroscopy?

Mitchell, Sandra D. (2019) Instrumental Perspectivism: Is AI Machine Learning Technology like NMR Spectroscopy? [Preprint]

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Abstract

The question, “Will science remain human?” expresses a worry that deep learning algorithms will replace scientists in making crucial judgments of classification and inference and that something crucial will be lost if that happens.  Ever since the introduction of telescopes and microscopes humans have relied on technologies to “extend” beyond human sensory perception in acquiring scientific knowledge.  In this paper I explore whether the ways in which new learning technologies “extend” beyond human cognitive aspects of science can be treated instrumentally. I will consider the norms for determining the reliability of a detection instrument, nuclear magnetic resonance spectroscopy, in predicting models of protein atomic structure. Do the same norms that apply in that case be used to judge the reliability of Artificial Intelligence deep learning algorithms?


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Mitchell, Sandra D.smitchel@pitt.edu
Additional Information: in M. Bertolaso and F. Sterpetti (eds) Will Science Remain Human, Springer (forthcoming).
Keywords: Deep Learning, NMR Spectroscopy, Experiment,
Subjects: Specific Sciences > Chemistry
Specific Sciences > Computer Science
General Issues > Experimentation
General Issues > Theory/Observation
Depositing User: Sandra D. Mitchell
Date Deposited: 23 Feb 2019 22:09
Last Modified: 23 Feb 2019 22:09
Item ID: 15738
Subjects: Specific Sciences > Chemistry
Specific Sciences > Computer Science
General Issues > Experimentation
General Issues > Theory/Observation
Date: 12 February 2019
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/15738

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