Identifying and measuring developments in artificial intelligence: Making the impossible possible

Stefano Baruffaldi, Brigitte van Beuzekom, Hélène Dernis, Dietmar Harhoff (), Nandan Rao, David Rosenfeld and Mariagrazia Squicciarini
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Stefano Baruffaldi: Max Planck Institute for Innovation and Competition

No 2020/05, OECD Science, Technology and Industry Working Papers from OECD Publishing

Abstract: This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-related developments over recent years. Since 2015, AI-related publications have increased by 23% per year; from 2014 to 2018, AI-related OSS contributions grew at a rate three times greater than other OSS contributions; and AI-related inventions comprised, on average, more than 2.3% of IP5 patent families in 2017. China’s growing role in the AI space also emerges. The analysis relies on a three-pronged approach based on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data.

Date: 2020-05-01
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ino and nep-tid
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Persistent link: https://EconPapers.repec.org/RePEc:oec:stiaaa:2020/05-en

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