Opportunities and drawbacks of using artificial intelligence for training
Autor(es):
Verhagen, Annelore
Organización de Cooperación y Desarrollo Económico
Series OECD Social, Employment and Migration Working PapersEditor: París : OECD Publishing, 2021Descripción: 69 p. : gráf. ; 1 documento PDFTipo de contenido: texto (visual) Tipo de medio: electrónico
Tipo de soporte: recurso en líneaSerie normalizada: OECD Social, Employment and Migration Working Papers




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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 | Acceso libre online | 1000020177069 |
Bibliografía: p. 64-68
Technological developments are one of the major forces behind the need for retraining, but they can also be part of the solution. In particular, Artificial Intelligence (AI) has the potential to increase training participation, including among currently underrepresented groups, by lowering some of the barriers to training that people experience and by increasing motivation to train. Moreover, certain AI solutions for training may improve the alignment of training to labour market needs, and reduce bias and discrimination in the workplace. In order to realise the benefits of AI for training and ensure that it yields benefits for all, it will be necessary to address potential drawbacks in terms of changing skills requirements, inequalities in access to data, technology and infrastructure and important ethical issues. Finally, even when these drawbacks can be addressed, the introduction and expansion of AI tools for training is constrained by the supply of AI skills in the workforce and the availability of scientific evidence regarding the benefits of AI tools for training and whether they are cost-effective.
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