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dc.contributor.authorLópez Rivero, Alfonso José
dc.contributor.authorBeato, M. Encarnación
dc.contributor.authorMuñoz Martínez, César
dc.contributor.authorCortiñas Vázquez, Pedro Gonzalo
dc.date2022-12
dc.date.accessioned2022-12-20T10:04:49Z
dc.date.available2022-12-20T10:04:49Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/13944
dc.description.abstractIn this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical principles that cause the greatest concern among the population, analyzing these characteristics among different actors. The main study analyses the difference between Information and Communications Technology (ICT) professionals and the rest of the population. Along with this study, we conducted a gender study; in addition, we studied differences between university students, classified as future professionals who can work in Artificial Intelligence, and other university students. We believe that this work is a starting point for an informed debate in the scientific community and industry on the ethical implications of artificial intelligence based on the classification of ethical principles made by the EU, which can be extrapolated to any analysis carried out on the use of data to apply them in algorithms based on Artificial Intelligence.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 7, nº 7
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3217es_ES
dc.rightsopenAccesses_ES
dc.subjectartificial intelligencees_ES
dc.subjectethicses_ES
dc.subjectethical AIes_ES
dc.subjecttrustes_ES
dc.subjectdigital transformationes_ES
dc.subjectIJIMAIes_ES
dc.titleEmpirical Analysis of Ethical Principles Applied to Different AI Uses Caseses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2022.11.006


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