Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices

The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions. The ''Greening AI with Software Engineering'' workshop,1 funded by the Centre Européen de Calcul Ato...

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Detalles Bibliográficos
Autores: Miranda Cruz, Luís, Fernandes, João Paulo, Kirkeby, Maja Hanne, Martínez Fernández, Silverio Juan|||0000-0001-9928-133X, Sallou, June, Anwar, Hina, Barba Roque, Enrique, Bogner, Justus, Castaño Fernández, Joel, González Álvarez, Alexandra|||0009-0003-7634-0343
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/442935
Acceso en línea:https://hdl.handle.net/2117/442935
https://dx.doi.org/10.1145/3743095.3743099
Access Level:acceso abierto
Palabra clave:Software engineering
Artificial Intelligence
Environmental impact
''Greening AI with Software Engineering'' Workshop
Àrees temàtiques de la UPC::Informàtica::Impacte ambiental
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Descripción
Sumario:The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions. The ''Greening AI with Software Engineering'' workshop,1 funded by the Centre Européen de Calcul Atomique et Moléculaire (CECAM) and the Lorentz Center, provided an interdisciplinary forum for 29 participants, from practitioners to academics, to share knowledge, ideas, practices, and current results dedicated to advancing green software and AI research. The workshop was held February 3-7, 2025, in Lausanne, Switzerland. Through keynotes, flash talks, and collaborative discussions, participants identified and prioritized key challenges for the field. These included energy assessment and standardization, benchmarking practices, sustainability-aware architectures, runtime adaptation, empirical methodologies, and education. This report presents a research agenda emerging from the workshop, outlining open research directions and practical recommendations to guide the development of environmentally sustainable AI-enabled systems rooted in software engineering principles.

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