Innovating for Tomorrow: The Convergence of SE and Green AI
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866913405553606656 |
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| author | Cruz, Luís Gutierrez, Xavier Franch Martínez-Fernández, Silverio |
| author_facet | Cruz, Luís Gutierrez, Xavier Franch Martínez-Fernández, Silverio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_18142 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Innovating for Tomorrow: The Convergence of SE and Green AI Cruz, Luís Gutierrez, Xavier Franch Martínez-Fernández, Silverio Software Engineering Artificial Intelligence 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. |
| title | Innovating for Tomorrow: The Convergence of SE and Green AI |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2406.18142 |