Identifying and measuring developments in artificial intelligence

Autor: Mariagrazia Squicciarini, Nandan Rao, Brigitte van Beuzekom, Dietmar Harhoff, Hélène Dernis, Stefano Horst Baruffaldi, David Rosenfeld
Rok vydání: 2020
Předmět:
Zdroj: OECD Science, Technology and Industry Working Papers.
ISSN: 1815-1965
Popis: 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.
Databáze: OpenAIRE