Innovating for Tomorrow: The Convergence of SE and Green AI
<|reference_start|>Innovating for Tomorrow: The Convergence of SE and Green AI: 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.<|reference_end|>
@article{cruz2024innovating,
    title={Innovating for Tomorrow: The Convergence of SE and Green AI},
    author={Lu'is Cruz, Xavier Franch Gutierrez, Silverio Mart'inez-Fern'andez},
    journal={arXiv preprint arXiv:2406.18142},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.18142},
    primaryClass={cs.SE cs.AI}
}