02533nam a2200349 c 4500 5641 5641 00005641 ES-MaONT 20211006062630.0 20131 s2019 fr d|||f t i 01 u|eng u doi 10.1787/d62f618a-en . ES-MaONT Scoping the OECD AI principles : Deliberations of the Expert Group on Artificial Intelligence at the OECD (AIGO) Paris : OECD Publishing, November 2019 28 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier cr OECD Digital Economy Papers ; November 2019, No. 291 Artificial intelligence (AI) is reshaping economies, promising to generate productivity gains, improve efficiency and lower costs. At the same time, AI is also fuelling anxieties and ethical concerns. As AI’s impacts permeate our societies, its transformational power must be put at the service of people and the planet. This document presents the work conducted by the Expert Group on Artificial Intelligence at the OECD (AIGO) to scope principles to foster trust in and adoption of AI. In particular, this paper presents a common understanding of what is an AI system as well as a framework that details the stages of the AI system lifecycle. This work informed the draft Recommendation of the Council on Artificial Intelligence. On 22 May 2019, the OECD Council adopted the Recommendation – also referred to as the OECD AI Principles – at the Ministerial level. You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgment of OECD as source and copyright owner is given. Tecnologías habilitadoras digitales 18 Artificial intelligence AI environment lifecycle risk Organización de Cooperación y Desarrollo Económico 2843 OECD Digital Economy Papers 2551 https://read.oecd-ilibrary.org/science-and-technology/scoping-the-oecd-ai-principles_d62f618a-en#page1 0 Acceso al documento pdf https://www.oecd-ilibrary.org/science-and-technology/scoping-the-oecd-ai-principles_d62f618a-en 0 Más información pdf INF z 0 0 z 0 3 1 01 01 online 2020-01-31 0 1000020175917 2020-01-31 00:00:00 2020-01-31 INF pdf