L’editoria accademica, i dati della ricerca e l’intelligenza artificiale

Delle Donne, Roberto (2025) L’editoria accademica, i dati della ricerca e l’intelligenza artificiale. In: Life-on-life: l’umanesimo di fronte alle sfide dell’intelligenza arti!ciale. Human & Future (1). FedOAPress, Napoli, pp. 31-53. ISBN 978-88-6887-355-4

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Abstract

ENGLISH: The article examines the transformative impact of artificial intelligence (AI) and research data management on academic publishing, emphasizing global trends and the conservative stance of Italian publishers. It highlights initiatives such as Open Science, FAIR principles (Findable, Accessible, Interoperable, Reusable), and Text and Data Mining (TDM), discussing their challenges and potential for innovation. The role of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in automating academic workflows, addressing ethical concerns, and promoting inclusivity is explored. The article concludes by advocating for equitable access to AI tools and data, aligning technology with the principles of cultural heritage preservation and knowledge democratization.

Item Type:	Book Section
Uncontrolled Keywords:	Academic Publishing, Arti)cial Intelligence, Open Science, FAIR Data, Text and Data Mining, Large Language Models, Cultural Heritage, Knowledge Democratization
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Depositing User:	dr Vincenzo De Luise
Date Deposited:	25 Jul 2025 10:25
Last Modified:	25 Jul 2025 10:25
URI:	http://www.rmoa.unina.it/id/eprint/7096

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