02501nam a22003737a 4500 00006875 ES-MaONT 20211217173033.0 211217s2021 fr d|||f t|||i00| 0 eng d . doi 10.1787/1815199X ES-MaONT Verhagen, Annelore 5350 Opportunities and drawbacks of using artificial intelligence for training / Annelore Verhagen París : OECD Publishing, 2021 69 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Social, Employment and Migration Working Papers ; 266 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. Inteligencia Artificial 4348 Empleo 5190 aprendizaje de adultos IA formación habilidades capacitación mercado laboral Organización de Cooperación y Desarrollo Económico 2843 OECD Social, Employment and Migration Working Papers 3942 https://www.oecd-ilibrary.org/social-issues-migration-health/opportunities-and-drawbacks-of-using-artificial-intelligence-for-training_22729bd6-en 0 Acceso al documento pdf udc INF 6875 6875 0 0 z 0 3 1 01 01 online 2021-12-17 0 1000020177069 2021-12-17 00:00:00 2021-12-17 INF pdf