Artificial intelligence: From ethics to policy

Autor(es):
van Wynsberghe, Aimee
Parlamento Europeo‏
Conjunto: Editor: Brussels Europan Union 2020Descripción: 37 págTipo de contenido: texto
Tipo de medio: informático
Tipo de soporte: recurso en línea
ISBN: 9789284658558 Tema(s): Inteligencia Artificial | AI | machine learning | ML | public services | policies | governing AIRecursos en línea: acceso al documento

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Resumen: There is little doubt that artificial intelligence (AI) and ma ch inelearning (ML) will revolutionise public services. However, th e p ower for positive change that AI provides simultaneously holds the potential for negative impacts on society. AI ethics work to uncover the variety of ethical issues resulting from the design, development, and deployment of AI. The question at the centre of all current work in AI ethics is: How can we move from AI ethics to specific policy and legislation for governing AI? Based on a framing of 'AI as a social experiment', this study arrives at policy options for public administrations and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public arena. The reasons for targeting this application sector concern: the need for a high standard of transparency, respect for democratic values, and legitimacy. The policy options presented here chart a path towards accountability; procedures and decisions of an ethical nature are systematically logged prior to the deployment of an AI system. This logging is the first step in allowing ethics to play a crucial role in the implementation of AI for the public good
Lista(s) en las que aparece este ítem: Nº 6. Novedades - Junio 2020 | Inteligencia Artificial
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There is little doubt that artificial intelligence (AI) and ma ch inelearning (ML) will revolutionise public services. However, th e p ower for positive change that AI provides simultaneously holds the potential for negative impacts on society. AI ethics work to uncover the variety of ethical issues resulting from the design, development, and deployment of AI. The question at the centre of all current work in AI ethics is: How can we move from AI ethics to specific policy and legislation for governing AI? Based on a framing of 'AI as a social experiment', this study arrives at policy options for public administrations and governmental organisations who are looking to deploy AI/ML solutions, as well as the private companies who are creating AI/ML solutions for use in the public arena. The reasons for targeting this application sector concern: the need for a high standard of transparency, respect for democratic values, and legitimacy. The policy options presented here chart a path towards accountability; procedures and decisions of an ethical nature are systematically logged prior to the deployment of an AI system. This logging is the first step in allowing ethics to play a crucial role in the implementation of AI for the public good

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