000			02188nam a22003378i 4500
001			00006974
003			ES-MaONT
005			20220222165648.0
008			220222s2022 fr ad o i|0| 0 eng d
024			_2DOI _a10.1787/20716826
040			_aES-MaONT
110			_92843 _aOrganización de Cooperación y Desarrollo Económico
245	1	0	_aOECD framework for the classification of IA systems
260			_aParis : _bOECD Publishing, _cFebruary 2022
300			_a80 p. _b: il., gráf. _c; 1 documento PDF
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
490	1		_aOECD Digital Economy Papers _v; February 2022, No. 323
520			_aAs 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.
540			_aTodos los derechos reservados _b; OECD
650		4	_aInteligencia Artificial _94348
653			_aIA
653			_asistemas de IA
653			_aclasificación
653			_aevaluación de sistemas
653			_anormas
830	0		_aOECD Digital Economy Papers _92551
856	4	2	_uhttps://www.oecd-ilibrary.org/docserver/cb6d9eca-en.pdf?expires=1645548869&id=id&accname=guest&checksum=41EA65F7ECDDEAD689260FA43FA5E33A _yAcceso al documento _x0 _qpdf
942			_cINF _2udc
999			_c6974 _d6974