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Deep Learning Opacity in Scientific Discovery.

  • Published In: Philosophy of Science, 2023, v. 90, n. 5. P. 1089 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Duede, Eamon 3 of 3

Abstract

While philosophers have focused on epistemological and ethical challenges of using artificial intelligence (AI) in science, scientists have focused largely on opportunities. I argue that this disconnect between philosophical pessimism and scientific optimism is driven by failures to critically examine the practice of AI-infused science. To appreciate the epistemic justification for AI-powered breakthroughs, philosophers must analyze the role of AI as part of a wider process of discovery. I demonstrate the importance of this with two cases from the scientific literature, and show that epistemic opacity need not diminish AI's capacity to lead scientists to significant and justifiable breakthroughs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Philosophy of Science. 2023/12, Vol. 90, Issue 5, p1089
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0031-8248
  • DOI:10.1017/psa.2023.8
  • Accession Number:174317251
  • Copyright Statement:Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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