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

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<dc:creator>Baruffaldi, Stefano</dc:creator>
<dc:creator>OECD</dc:creator>
<dc:date>2021</dc:date>
<dc:description xml:lang="es">Sumario: 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.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/177464.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>OECD</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Nuevas tecnologías</dc:subject>
<dc:subject xml:lang="es">Transformación digital</dc:subject>
<dc:subject xml:lang="es">Publicaciones</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Identifying and measuring developments in artificial intelligence : making the impossible possible</dc:title>
<dc:format xml:lang="es">68 p.</dc:format>
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