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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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
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repository_id_str
spelling Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practicesMiranda Cruz, LuísFernandes, João PauloKirkeby, Maja HanneMartínez Fernández, Silverio Juan|||0000-0001-9928-133XSallou, JuneAnwar, HinaBarba Roque, EnriqueBogner, JustusCastaño Fernández, JoelGonzález Álvarez, Alexandra|||0009-0003-7634-0343Software engineeringArtificial IntelligenceEnvironmental impact''Greening AI with Software Engineering'' WorkshopÀrees temàtiques de la UPC::Informàtica::Impacte ambientalÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificialÀrees temàtiques de la UPC::Informàtica::Enginyeria del softwareThe 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.Peer ReviewedArticle signat per 25 autors/es: Luís Miranda Cruz, Delft University of Technology, Delft, Netherlands; João Paulo Fernandes, New York University Abu Dhabi, UAE; Maja Hanne Kirkeby, Roskilde University; Silverio Martínez-Fernández, Universitat Politècnica de Catalunya, Barcelona, Spain; June Sallou, Wageningen University & Research, Netherlands; Hina Anwar, University of Tartu, Tartu, Estonia; Enrique Barba Roque, Delft University of Technology, Delft, Netherlands; Justus Bogner, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Joel Castaño, Universitat Politècnica de Catalunya, Barcelona, Spain; Fernando Castor, University of Twente, Enschede, Netherlands; Aadil Chasmawala, New York University Abu Dhabi, UAE; Simão Cunha, University of Minho, Braga, Portugal; Daniel Feitosa, University of Groningen, Groningen, Netherlands; Alexandra González, Universitat Politècnica de Catalunya, Barcelona, Spain; Andreas Jedlitschka, Fraunhofer Institute for Experimental Software Engineering, Kaiserslautern, Germany; P. Lago, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Henry Muccini, University of L'Aquila, L'Aquila, Italy; Ana Maria Oprescu, Universiteit van Amsterdam, Amsterdam, Netherlands; Pooja Rani, University of Zurich, Zurich, Switzerland; João Saraiva, University of Minho & INESC TEC, Braga, Portugal; Federica Sarro, University College London, London, United Kingdom; Raghavendra Selvan, University of Copenhagen, Copenhagen, Denmark; Karthik Vaidhyanathan, SERC, IIIT Hyderabad, Hyderabad, India; Roberto Verdecchia, University of Florence, Florence, Italy20252025-07-2320252025-10-02journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/442935https://dx.doi.org/10.1145/3743095.3743099reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4429352026-05-27T15:37:01Z
dc.title.none.fl_str_mv Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
title Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
spellingShingle Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
Miranda Cruz, Luís
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
title_short Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
title_full Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
title_fullStr Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
title_full_unstemmed Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
title_sort Greening AI-enabled systems with software engineering: a research agenda for environmentally sustainable AI practices
dc.creator.none.fl_str_mv 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
author Miranda Cruz, Luís
author_facet 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
author_role author
author2 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
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv 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
topic 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
description 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.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-07-23
2025
2025-10-02
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/442935
https://dx.doi.org/10.1145/3743095.3743099
url https://hdl.handle.net/2117/442935
https://dx.doi.org/10.1145/3743095.3743099
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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