AI and scientific productivity: Considering policy and governance challenges

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Increased application of artificial intelligence (AI) is often touted as the solution to the problem of scientific productivity. This essay explores the science policy and governance implications of AI within the broader debate about scientific productivity. It reviews lessons from previous waves of automation in science and their impact on the practice of science. Since the public sector science base is also the environment in which advanced skills in science and technology are developed, the paper considers possible implications of AI use on scientific human capital. It then examines a range of policy and governance implications, including how AI tools might be used in funding and governance practices.
Original languageEnglish
Title of host publicationArtificial Intelligence in Science
Subtitle of host publicationChallenges, Opportunities and the Future of Research
Place of PublicationParis
PublisherOrganisation for Economic Co-operation and Development
Pages271-278
Number of pages8
ISBN (Electronic)9789264928206, 9789264446212, 9789264332287
DOIs
Publication statusPublished - 26 Jun 2023

Research Beacons, Institutes and Platforms

  • Manchester Institute of Innovation Research
  • Digital Futures

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