<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>The </nonSort>
    <title>human capital behind AI</title>
    <subTitle>: jobs and skills demand from online job postings</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Samek, Lea</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Squicciarini, Mariagrazia</namePart>
  </name>
  <name type="personal">
    <namePart>Cammeraat, Emile</namePart>
  </name>
  <name type="corporate">
    <namePart>Organización de Cooperación y Desarrollo Económico</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">fr</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Paris</placeTerm>
    </place>
    <publisher>OECD Publishing</publisher>
    <dateIssued>September 2021</dateIssued>
    <dateIssued encoding="marc">2021</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <internetMediaType>pdf</internetMediaType>
    <extent>99 p. : il., gráf. ; 1 documento PDF</extent>
  </physicalDescription>
  <abstract>Building on recent OECD work, this paper analyses the skills sets (“skills bundles”) demanded in artificial intelligence (AI)-related online job postings. The analysis uses Burning Glass Technologies’ data for the United States and the United Kingdom and finds that skills related to the open source programming software Python and to machine learning represent “must-haves” for working with AI. Employers additionally value specialised skills related to robotics, AI development and applying AI. A comparison of the periods 2013-15 and 2017-19 shows that the latter two have become more interrelated over time, with “neural network” skills connecting both groups. Network analysis relating AI skills to general skills highlights the growing role of socio-emotional skills; and of skill bundles related to programming, management of big data and data analysis. Key results hold for both countries and time periods, though differences emerge across occupations and industries.</abstract>
  <note type="statement of responsibility">/ Lea Samek, Mariagrazia Squicciarini and Emile Cammeraat </note>
  <note>Bibliografía: p. 76-79</note>
  <note>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 ; OECD</note>
  <subject authority="lcsh">
    <topic>Inteligencia Artificial</topic>
  </subject>
  <subject>
    <topic>AI</topic>
  </subject>
  <subject>
    <topic>habilidades </topic>
  </subject>
  <subject>
    <topic>teletrabajo</topic>
  </subject>
  <subject>
    <topic>ofertas de trabajo en línea</topic>
  </subject>
  <subject>
    <topic>trabajo remoto</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>OECD Science, Technology and Industry Policy Papers</title>
    </titleInfo>
  </relatedItem>
  <relatedItem>
    <internetMediaType>pdf</internetMediaType>
  </relatedItem>
  <identifier type="uri">https://www.oecd-ilibrary.org/docserver/2e278150-en.pdf?expires=1632322051&amp;id=id&amp;accname=guest&amp;checksum=6F147E7302D582C8D2412BE41083D35B</identifier>
  <location>
    <url displayLabel="Acceso al documento">https://www.oecd-ilibrary.org/docserver/2e278150-en.pdf?expires=1632322051&amp;id=id&amp;accname=guest&amp;checksum=6F147E7302D582C8D2412BE41083D35B</url>
  </location>
  <accessCondition type="useAndReproduction">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 ; OECD</accessCondition>
  <recordInfo>
    <recordContentSource authority="marcorg">ES-MaONT</recordContentSource>
    <recordCreationDate encoding="marc">210922</recordCreationDate>
    <recordChangeDate encoding="iso8601">20220207165117.0</recordChangeDate>
    <recordIdentifier source="ES-MaONT">00006715</recordIdentifier>
  </recordInfo>
</mods>
