The integration of Artificial Intelligence (AI) into academic publishing is reshaping key processes such as authorship, peer review, and manuscript selection. While AI tools enhance efficiency and accessibility, they also raise concerns about transparency, ethical responsibility, and intellectual property. This article explores the implications of AI-driven automation in scholarly communication, addressing its impact on research integrity and editorial governance. As AI adoption expands, clear guidelines are essential to balance technological advancements with academic rigor. The discussion highlights regulatory challenges and the need for Open Science initiatives to ensure equitable access to AI-driven editorial tools.
L’Intelligenza Artificiale nell’editoria accademica: opportunità e sfide / Delle Donne, Roberto. - (2026), pp. 143-150.
L’Intelligenza Artificiale nell’editoria accademica: opportunità e sfide
Roberto Delle Donne
2026
Abstract
The integration of Artificial Intelligence (AI) into academic publishing is reshaping key processes such as authorship, peer review, and manuscript selection. While AI tools enhance efficiency and accessibility, they also raise concerns about transparency, ethical responsibility, and intellectual property. This article explores the implications of AI-driven automation in scholarly communication, addressing its impact on research integrity and editorial governance. As AI adoption expands, clear guidelines are essential to balance technological advancements with academic rigor. The discussion highlights regulatory challenges and the need for Open Science initiatives to ensure equitable access to AI-driven editorial tools.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


