02458nam a22003497a 4500 00006650 ES-MaONT 20220207164617.0 210729s2021 d|||fst|||i00| 0 eng d doi 10.1787/7b43b038-en ES-MaONT Measuring the AI content of government-funded R&D projects : a proof of concept for the OECD Fundstat initiative / Izumi Yamashita ... [et al.] París : OECD Publishing, 2021 106 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Science, Technology and Industry Working Papers ; 2021/09 This report presents the results of a proof of concept for a new analytical infrastructure (“Fundstat”) for analysing government funding of R&D at the project level, exploiting the wealth of text-based information about funded projects. Reflecting the growth in popularity of artificial intelligence (AI) and the OECD Council Recommendation on AI’s emphasis on R&D investment, the report focuses on analysing government investments into AI-related R&D. Using text mining tools, it documents the creation of a list of key terms used to identify AI-related R&D projects contained in 13 funding databases from eight OECD countries and the EU, provides estimates for the total number and volume of government R&D funding, and characterises their AI funding portfolio. The methods and findings developed in this study also serve as a prototype for a new distributed mechanism capable of measuring and analysing government R&D support across key OECD priority areas and topics. The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at http://www.oecd.org/termsandconditions. 4348 Inteligencia Artificial AI i+D investigación desarrollo financiación gubernamental 5126 Yamashita, Izumi Organización de Cooperación y Desarrollo Económico 2843 OECD Science, Technology and Industry Working Papers 3597 https://www.oecd-ilibrary.org/docserver/7b43b038-en.pdf?expires=1627547318&id=id&accname=guest&checksum=E91945E3C752922A6AB7DA2BA3C50970 0 Acceso al documento pdf udc INF 6650 6650 0 0 0 3 1 7595 01 01 online 2021-07-29 0 1000020176843 2021-07-29 00:00:00 2021-07-29 INF pdf