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  <titleInfo>
    <title>Identifying and measuring developments in artificial intelligence</title>
    <subTitle>: Making the impossible possible</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Baruffaldi, S</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Organización de Cooperación y Desarrollo Económico</namePart>
  </name>
  <name type="corporate">
    <namePart>Max Planck Institute for Innovation and Competition</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="text">París</placeTerm>
    </place>
    <publisher>OECD Publishing</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
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    <extent>68 p. : : gráf. ; 1 documento PDF</extent>
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  <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</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">/ Stefano Baruffald ... [et al.]</note>
  <note>Bibliografía: p. 35-38</note>
  <subject>
    <topic>Inteligencia Artificial</topic>
  </subject>
  <subject>
    <topic>scientific publications</topic>
  </subject>
  <subject>
    <topic>open source software</topic>
  </subject>
  <subject>
    <topic>patents</topic>
  </subject>
  <subject>
    <topic>machine learning</topic>
  </subject>
  <subject>
    <topic>AI</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>OECD Science, Technology and Industry Working Papers</title>
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    <internetMediaType>pdf</internetMediaType>
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  <identifier type="uri">https://doi.org/10.1787/5f65ff7e-en</identifier>
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    <url displayLabel="Acceso al documento">https://doi.org/10.1787/5f65ff7e-en</url>
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    <recordCreationDate encoding="marc">200521</recordCreationDate>
    <recordChangeDate encoding="iso8601">20210820062956.0</recordChangeDate>
    <recordIdentifier source="ES-MaONT">00005972</recordIdentifier>
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