Responsibility Gaps, LLMs & Organisations: Many Agents, Many Levels, and Many Interactions.

In this article, we propose a business ethics-inspired approach to address the distribution dimension of responsibility gaps introduced by general-purpose AI models, particularly large language models (LLMs). We argue that the pervasive deployment of LLMs exacerbates the long-standing problem of “ma...

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Publicado en:	Science & Engineering Ethics Vol. 31; no. 6; pp. 1 - 25
Autores principales:	Constantinescu, Mihaela, Kaptein, Muel
Formato:	Artículo
Publicado:	Springer Nature Dec2025
Materias:	Responsibility Language models Social responsibility of business Business ethics
Acceso en línea:	Ver este registro en EBSCOhost