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- W2915720118 abstract "The question, “Will science remain human?” expresses a worry that deep learning algorithms will replace scientists in making 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. Can the same norms that apply in that case be used to judge the reliability of Artificial Intelligence deep learning algorithms?" @default.
- W2915720118 created "2019-03-02" @default.
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- W2915720118 date "2020-01-01" @default.
- W2915720118 modified "2023-10-16" @default.
- W2915720118 title "Instrumental Perspectivism: Is AI Machine Learning Technology Like NMR Spectroscopy?" @default.
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- W2915720118 doi "https://doi.org/10.1007/978-3-030-25001-0_3" @default.
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