Uncovering the gap: challenging the agential nature of AI responsibility problems Llorca Albareda, Joan Responsibility gap Control condition Agential Ethical proliferation Many hands Collective agency In 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. 2025-03-03T07:05:50Z 2025-03-03T07:05:50Z 2025-02-28 journal article Llorca Albareda, J. Uncovering the gap: challenging the agential nature of AI responsibility problems. AI Ethics (2025). https://doi.org/10.1007/s43681-025-00685-w https://hdl.handle.net/10481/102800 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional AI and Ethics. Springer