02498nam a22003977a 4500 00006968 ES-MaONT 20220315174455.0 220217s2021 lu d|||| |||| 00| 0 eng d 978-92-9482-937-5 (print) 978-92-9482-939-9 (pdf) . doi 10.2839/805305 (print) . doi 10.2839/372863 (pdf) ES-MaONT Instituto Europeo de la Igualdad de Género 2605 Artificial intelligence, platform work and gender equality / European Institute for Gender Equality (EIGE) Luxembourg : Publications Office of the European Union, 2021 118 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier Bibliografía: p. 104-115 This report examines the opportunities and challenges for gender equality in labour markets transformed by artificial intelligence (AI) and platform work. To do this, it assesses the following issues from a gender perspective: 1) AI-related transformation of the labour market, including working conditions, work relationships, the organisation of work and content. 2) Working conditions and work patterns of women and men engaged in platform work. This includes a survey of almost 5,000 platform workers in the EU. 3) EU and national policy approaches to regulate platform work, especially key regulatory challenges (such as employment status, access to social protection and rights at work). Reproduction is authorised provided the source is acknowledged. Reuse is authorised provided the source is acknowledged, the original meaning is not distorted and EIGE is not liable for any damage caused by that use. The reuse policy of EIGE is implemented by the Commission Decision of 12 December 2011 on the reuse of Commission documents (2011/833/EU) Instituto Europeo de la Igualdad de Género 2600 Mujeres digitales 5190 Empleo 4348 Inteligencia Artificial igualdad de género oportunidades mercado laboral plataformas de trabajo derechos laborales Comisión Europea 999 https://eige.europa.eu/publications/artificial-intelligence-platform-work-and-gender-equality-report 0 Acceso al documento pdf z INF 6968 6968 0 0 z 0 3 1 01 01 online 2022-02-17 0 1000020177163 2022-02-17 00:00:00 2022-02-17 INF pdf