TY - JOUR A1 - Cruz, Luís A1 - Fernandes, João Paulo A1 - Kirkeby, Maja H. A1 - Martínez-Fernández, Silverio A1 - Sallou, June A1 - Anwar, Hina A1 - Barba Roque, Enrique A1 - Bogner, Justus A1 - Castaño, Joel A1 - Castor, Fernando A1 - Chasmawala, Aadil A1 - Cunha, Simão A1 - Feitosa, Daniel A1 - González, Alexandra A1 - Jedlitschka, Andreas A1 - Lago, Patricia A1 - Muccini, Henry A1 - Oprescu, Ana A1 - Rani, Pooja A1 - Saraiva, João A1 - Sarro, Federica A1 - Selvan, Raghavendra A1 - Vaidhyanathan, Karthik A1 - Verdecchia, Roberto A1 - Yamshchikov, Ivan P. T1 - Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices T2 - ACM SIGSOFT Software Engineering Notes N2 - 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 Europ´een de Calcul Atomique et Mol´eculaire (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. KW - Green AI Y1 - 2025 UR - https://opus4.kobv.de/opus4-fhws/frontdoor/index/index/docId/6281 UR - https://nbn-resolving.org/urn:nbn:de:bvb:863-opus-62813 SN - 0163-5948 VL - 50 IS - 3 SP - 14 EP - 23 PB - Association for Computing Machinery (ACM) ER -