Innovating for Tomorrow: The Convergence of SE and Green AI
June 26, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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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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