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dc.contributor.authorLlorca Albareda, Joan
dc.date.accessioned2025-03-03T07:05:50Z
dc.date.available2025-03-03T07:05:50Z
dc.date.issued2025-02-28
dc.identifier.citationLlorca Albareda, J. Uncovering the gap: challenging the agential nature of AI responsibility problems. AI Ethics (2025). https://doi.org/10.1007/s43681-025-00685-wes_ES
dc.identifier.urihttps://hdl.handle.net/10481/102800
dc.description.abstractIn this paper, I will argue that the responsibility gap arising from new AI systems is reducible to the problem of many hands and collective agency. Systematic analysis of the agential dimension of AI will lead me to outline a disjunctive between the two problems. Either we reduce individual responsibility gaps to the many hands, or we abandon the individual dimension and accept the possibility of responsible collective agencies. Depending on which conception of AI agency we begin with, the responsibility gap will boil down to one of these two moral problems. Moreover, I will adduce that this conclusion reveals an underlying weakness in AI ethics: the lack of attention to the question of the disciplinary boundaries of AI ethics. This absence has made it difficult to identify the specifics of the responsibility gap arising from new AI systems as compared to the responsibility gaps of other applied ethics. Lastly, I will be concerned with outlining these specific aspects.es_ES
dc.description.sponsorshipUniversidad de Granada/ CBUAes_ES
dc.language.isoenges_ES
dc.publisherAI and Ethics. Springeres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResponsibility gapes_ES
dc.subjectControl conditiones_ES
dc.subjectAgentiales_ES
dc.subjectEthical proliferationes_ES
dc.subjectMany handses_ES
dc.subjectCollective agencyes_ES
dc.titleUncovering the gap: challenging the agential nature of AI responsibility problemses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.type.hasVersionAMes_ES


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