Trends in the use of AI in science

David Arranz, Stefano Bianchini, Valentina Di Girolamo and Julien Ravet ()
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David Arranz: European Commission
Valentina Di Girolamo: European Commission
Julien Ravet: European Commission

EU research and innovation paper series from Directorate General for Research and Innovation (DG RTD) of the European Commission

Abstract: Artificial intelligence (AI) has the capability of boosting scientific productivity, augmenting human cognitive capabilities, and accelerating breakthroughs. Given the magnitude of this potential, efforts have increasingly been focused on tracking the diffusion and impact of AI in science and innovation. This paper provides new insights into the role of AI in scientific research across various domains of science. It is evident that AI as applied to science and research has been growing at a significant pace in recent years, with China leading the way, followed by the EU and the US. Indeed, the EU’s performance is found to be highly heterogeneous across its Member States. If current trends persist, the probability of future scientific discoveries being driven primarily by AI applications and tools is set to increase significantly. Failure to keep pace with the development and uptake of AI in science poses important challenges for the EU, including the need to address concerns about strategic autonomy, trends in scientific work and the labour market and, more broadly, productivity and growth.

Keywords: Artificial intelligence; scientific research; AI applications; China; EU; US; scientific productivity; strategic autonomy; labour market; productivity; growth (search for similar items in EconPapers)
JEL-codes: C18 O32 O38 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2023-03
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Persistent link: https://EconPapers.repec.org/RePEc:eug:wpaper:ki-bd-23-003-en-n

DOI: 10.2777/418191

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