Innovating for Tomorrow: The Convergence of SE and Green AI

June 26, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors LuΓ­s Cruz, Xavier Franch Gutierrez, Silverio MartΓ­nez-FernΓ‘ndez arXiv ID 2406.18142 Category cs.SE: Software Engineering Cross-listed cs.AI Citations 7 Venue arXiv.org Last Checked 4 months ago
Abstract
The latest advancements in machine learning, specifically in foundation models, are revolutionizing the frontiers of existing software engineering (SE) processes. This is a bi-directional phenomona, where 1) software systems are now challenged to provide AI-enabled features to their users, and 2) AI is used to automate tasks within the software development lifecycle. In an era where sustainability is a pressing societal concern, our community needs to adopt a long-term plan enabling a conscious transformation that aligns with environmental sustainability values. In this paper, we reflect on the impact of adopting environmentally friendly practices to create AI-enabled software systems and make considerations on the environmental impact of using foundation models for software development.
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