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Embedded ethics: a proposal for integrating ethics into the development of medical AI.
McLennan, Stuart; Fiske, Amelia; Tigard, Daniel; Müller, Ruth; Haddadin, Sami; Buyx, Alena.
  • McLennan S; Institute of History and Ethics in Medicine, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany. stuart.mclennan@tum.de.
  • Fiske A; Institute of History and Ethics in Medicine, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
  • Tigard D; Institute of History and Ethics in Medicine, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
  • Müller R; Munich Center for Technology in Society, School of Management and School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Haddadin S; Munich School of Robotics and Machine Intelligence, Technical University of Munich, Munich, Germany.
  • Buyx A; Institute of History and Ethics in Medicine, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
BMC Med Ethics ; 23(1): 6, 2022 01 26.
Article en En | MEDLINE | ID: mdl-35081955
ABSTRACT
The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI developers can be practically assisted to anticipate, identify and address ethical issues regarding AI technologies. This is particularly important in the development of AI intended for healthcare settings, where applications will often interact directly with patients in various states of vulnerability. In this paper, we propose that an 'embedded ethics' approach, in which ethicists and developers together address ethical issues via an iterative and continuous process from the outset of development, could be an effective means of integrating robust ethical considerations into the practical development of medical AI.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Instituciones de Salud Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Instituciones de Salud Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article