Organización de Cooperación y Desarrollo Económico </b> <br/><br/>
OECD framework for the classification of IA systems 
.-- Paris :  OECD Publishing,  February 2022 
.-- 80 p.  : il., gráf.  ; 1 documento PDF 
.-- (OECD Digital Economy Papers ; February 2022, No. 323). 
<br/><br/> 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. 
<br/><br/> Todos los derechos reservados  ; OECD 
<br/><br/><label>Núm. Estándar: </label>10.1787/20716826  DOI 
<br/><br/><label><b>Materias:</b></label> Inteligencia Artificial<br/>
<br/><br/><label><b>Términos de indización - No controlado:</b> </label>IA  <br/>sistemas de IA  <br/>clasificación  <br/>evaluación de sistemas  <br/>normas  <br/>
<br/><br/><label><b>Serie normalizada:</b> </label>OECD Digital Economy Papers<br/>