The human capital behind AI
: jobs and skills demand from online job postingsAutor(es):
Samek, Lea
| Squicciarini, Mariagrazia | Cammeraat, Emile
Organización de Cooperación y Desarrollo Económico
Series OECD Science, Technology and Industry Policy PapersEditor: Paris : OECD Publishing, September 2021Descripción: 99 p. : il., gráf. ; 1 documento PDFTipo de contenido: texto (visual) Tipo de medio: electrónico
Tipo de soporte: recurso en líneaSerie normalizada: OECD Science, Technology and Industry Policy Papers
Tema(s): Inteligencia Artificial | AI | habilidades | teletrabajo | ofertas de trabajo en línea | trabajo remotoRecursos en línea: 
Acceso al documento Resumen: 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.
| Tipo de ítem | Ubicación actual | Colección | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
Informes
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CDO
El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital.
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Colección digital | 2020-12-14 | Acceso libre online | 1000020176908 |
Bibliografía: p. 76-79
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.
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
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