AI and scientific productivity: Considering policy and governance challenges

Kieron Flanagan; Priscila Ferri; Barbara Ribeiro

doi:10.1787/a8d820bd-en

AI and scientific productivity: Considering policy and governance challenges

Kieron Flanagan, Priscila Ferri, Barbara Ribeiro

Research output: Chapter in Book/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	Artificial Intelligence in Science
Subtitle of host publication	Challenges, Opportunities and the Future of Research
Place of Publication	Paris
Publisher	Organisation for Economic Co-operation and Development
Pages	271-278
Number of pages	8
ISBN (Electronic)	9789264928206, 9789264446212, 9789264332287
DOIs	https://doi.org/10.1787/a8d820bd-en
Publication status	Published - 26 Jun 2023

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AI and scientific productivity: Considering policy and governance challenges. / Flanagan, Kieron ; Ferri, Priscila ; Ribeiro, Barbara.
Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research. Paris: Organisation for Economic Co-operation and Development, 2023. p. 271-278.

Research output: Chapter in Book/Conference proceeding › Chapter › peer-review

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AI and scientific productivity: Considering policy and governance challenges

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