02188nam a22003378i 4500 00006974 ES-MaONT 20220222165648.0 220222s2022 fr ad o i|0| 0 eng d DOI 10.1787/20716826 ES-MaONT 2843 Organización de Cooperación y Desarrollo Económico OECD framework for the classification of IA systems Paris : OECD Publishing, February 2022 80 p. : il., gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Digital Economy Papers ; February 2022, No. 323 As artificial intelligence (AI) integrates all sectors at a rapid pace, different AI systems bring different benefits and risks. In comparing virtual assistants, self-driving vehicles and video recommendations for children, it is easy to see that the benefits and risks of each are very different. Their specificities will require different approaches to policy making and governance. To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective. It can be applied to the widest range of AI systems across the following dimensions: People & Planet; Economic Context; Data & Input; AI model; and Task & Output. Each of the framework's dimensions has a subset of properties and attributes to define and assess policy implications and to guide an innovative and trustworthy approach to AI as outlined in the OECD AI Principles. Todos los derechos reservados ; OECD Inteligencia Artificial 4348 IA sistemas de IA clasificación evaluación de sistemas normas OECD Digital Economy Papers 2551 https://www.oecd-ilibrary.org/docserver/cb6d9eca-en.pdf?expires=1645548869&id=id&accname=guest&checksum=41EA65F7ECDDEAD689260FA43FA5E33A Acceso al documento 0 pdf INF udc 6974 6974 0 0 0 3 1 7923 01 01 online 2022-02-22 0 1000020177169 2022-02-22 00:00:00 2022-02-22 INF pdf