Innovating for Tomorrow: The Convergence of SE and Green AI

Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández
6/26/2024
cs.SEcs.AI

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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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Cite this paper

@article{cruz2024innovating,
  title  = {Innovating for Tomorrow: The Convergence of SE and Green AI},
  author = {Luís Cruz and Xavier Franch Gutierrez and Silverio Martínez-Fernández},
  year   = {2024},
  eprint = {2406.18142},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.18142v1}
}

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