02519nam a22003977a 4500 6552 6552 00006552 ES-MaONT 20210521074338.0 210521s2021 lu ad||est|||i001 0 eng d 978-92-846-8050-4 (print) 978-92-846-8049-8 (pdf) 10.2861/751111 (print) DOI 10.2861/882830 DOI ES-MaONT The role of Artificial Intelligence in the European Green Deal / authors, Peter Gailhofer ... [et al.] ; This document was provided by the Policy Department for Economic, Scientific and Quality of Life Policies at the request of the Special Committee on Artificial Intelligence in a Digital Age (AIDA) Luxembourg : European Parliament, Policy Department for Economic, Scientific and Quality of Life Policies, Directorate-General for Internal Policies, May 2021 70 p. : il., graf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier Bibliografía: p. 54-66 Artificial Intelligence can be deployed for a wide range of applications to promote the goals of the European Green Deal. However, adverse environmental impacts of AI could jeopardise the attainment of these goals. The report describes environmental potential, clarifies characteristics and causes of environmental risks, and outlines initiatives and best practices for environmental policies. It illustrates the need for regulatory action to align design and deployment of AI with the goals of the European Green Deal and concludes with specific recommendations. Reproduction and translation for non-commercial purposes are authorised, provided the source is acknowledged and the European Parliament is given prior notice and sent a copy ; Parlamento Europeo 4348 Inteligencia Artificial tecnología AI European Green Deal Pacto Verde Europeo impactos ambientales políticas ambientales regulación Gailhofer, Peter 5044 Parlamento Europeo. Dirección General de Políticas Internas. Departamento de Políticas Económicas, Científicas y de Calidad de Vida 5045 https://www.europarl.europa.eu/thinktank/en/document.html?reference=IPOL_STU(2021)662906 0 Acceso al documento pdf z INF 0 0 0 3 1 7496 01 01 online 2021-05-21 0 1000020176745 2021-05-21 00:00:00 2021-05-21 INF pdf