EconPapers    
Economics at your fingertips  
 

Universities and Green Tech: Leading the Transition to Sustainable Artificial Intelligence. Challenges for the Knowledge Society

Rey Francisco J. ()
Additional contact information
Rey Francisco J.: University of A Coruña, Spain

Proceedings of the International Conference on Business Excellence, 2025, vol. 19, issue 1, 2516-2524

Abstract: Over the past few years, universities have increasingly found themselves at the center of debates around sustainability and technological development. This paper looks at how these institutions contribute to designing and spreading more environmentally responsible AI systems, with particular attention to green algorithms. Based on a selection of real cases and policy frameworks, the article explores how academic projects, often in collaboration with public and private partners, can support energy efficiency in AI, without losing sight of research quality or innovation goals. Rather than offering a purely technical overview, this research reflects universities’ broader organisational role in driving change. In doing so, it suggests several proposals aimed at helping integrate sustainability into AI-related teaching, research, and innovation agendas.

Keywords: AI; sustainability; green algorithms; organisations; green tech (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/picbe-2025-0195 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:19:y:2025:i:1:p:2516-2524:n:1018

DOI: 10.2478/picbe-2025-0195

Access Statistics for this article

Proceedings of the International Conference on Business Excellence is currently edited by Alina Mihaela Dima

More articles in Proceedings of the International Conference on Business Excellence from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-07-29
Handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:2516-2524:n:1018