Innovating for Tomorrow: The Convergence of SE and Green AI

• URL: http://arxiv.org/abs/2406.18142v1
• Date: Wed, 26 Jun 2024 07:47:04 GMT
• Title: Innovating for Tomorrow: The Convergence of SE and Green AI
• Authors: Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández,
• Abstract summary: Machine learning is changing the frontiers of existing software engineering processes. We reflect on the impact of adopting environmentally friendly practices to create AI-enabled software systems.
• Score: 2.013374581642707
• License: http://creativecommons.org/licenses/by/4.0/
• 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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