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Assessing the artificially intelligent workplace: an ethical framework for evaluating experimental technologies in workplace settings.
Hosseini, Ziagul; Nyholm, Sven; Le Blanc, Pascale M; Preenen, Paul T Y; Demerouti, Evangelia.
Afiliação
  • Hosseini Z; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Nyholm S; Philosophy, Philosophy of Science, and Religious Studies, Ludwig Maximilian University of Munich, Munich, Germany.
  • Le Blanc PM; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Preenen PTY; Philosophy, Philosophy of Science, and Religious Studies, Ludwig Maximilian University of Munich, Munich, Germany.
  • Demerouti E; Sustainable Productivity and Employability, TNO-Netherlands Organisation for Applied Scientific Research, Leiden, The Netherlands.
AI Ethics ; : 1-13, 2023 Feb 21.
Article em En | MEDLINE | ID: mdl-36846834
ABSTRACT
Experimental technologies, including AI and robots, are revolutionising many types of work. For example, the logistics warehouse sector is witnessing a wave of new technologies, such as automated picking tools, collaborative robots and exoskeletons, affecting jobs and employees. Notably, it is not always possible to predict the effects of such new technologies, since they have inherent uncertainties and unintended consequences. Hence, their introduction into workplaces can be conceived as a social experiment. This paper aims to sketch a set of ethical guidelines for introducing experimental technologies into workplaces. It builds on Van de Poel's general framework for assessing new experimental technologies and translates that framework into a more specific context of work. We discuss its five principles non-maleficence, beneficence, responsibility, autonomy, and justice. Each of these principles is applied to workplaces in general, and specifically to the logistics warehouse setting as a case study. A particular focus in our discussion is put on the distinctive potential harms and goods of work.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: AI Ethics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: AI Ethics Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda