arXiv 2506.017742025-06-03cs.SEcs.AI

绿化AI赋能系统与软件工程：环境可持续AI实践的研究议程

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices

Delft University of Technology（代尔夫特理工大学）；New York University Abu Dhabi（纽约大学阿布扎克分校）；Roskilde University（罗斯基尔德大学）；Universitat Politècnica de Catalunya（巴塞罗那理工大学）；Wageningen University & Research（瓦格宁根大学与研究学院）；University of Tartu（塔尔图大学）；Vrije Universiteit Amsterdam（阿姆斯特丹自由大学）；University of Twente（代尔夫特理工大学）；University of Minho（明德大学）；University of Groningen（Groningen大学）；Fraunhofer Institute for Experimental Software Engineering（弗劳恩霍夫实验软件工程研究所）；University of L’Aquila（拉奎拉大学）；Universiteit van Amsterdam（阿姆斯特丹大学）

Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernan… 展开作者

Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov

DOI：: 10.1145/3743095.3743099

阅读 PDF

arXiv 页面 ↗HTML 原文 ↗

AI总结：

该研究议程基于2025年CECAM-Lorentz研讨会，提出通过软件工程原则应对AI系统环境影响的挑战，涵盖能源评估、基准测试、可持续架构等关键方向。

摘要：

人工智能（AI）赋能系统对环境的影响正在迅速增加，而软件工程在开发可持续解决方案中发挥着关键作用。由欧洲原子与分子计算中心和洛伦兹中心资助的“用软件工程绿化AI”CECAM-Lorentz研讨会（编号1358，2025年）为29名参与者（从从业者到学者）提供了一个跨学科论坛，以分享致力于推进绿色软件和AI研究的知识、想法、实践和当前成果。该研讨会于2025年2月3日至7日在瑞士洛桑举行。通过主题演讲、快闪演讲和协作讨论，参与者识别并优先考虑了该领域的关键挑战，包括能源评估与标准化、基准测试实践、可持续性感知架构、运行时适应、实证方法论和教育。本报告呈现了研讨会中产生的研究议程，概述了开放的研究方向和实用建议，以指导基于软件工程原则开发环境可持续的AI赋能系统。

英文摘要：

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" CECAM-Lorentz workshop (no. 1358, 2025) funded by the Centre Européen de Calcul Atomique et Moléculaire 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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。