2024/06/26 by Luís A. da Silva Cruz, Cruz, Luís, Xavier Franch Gutierrez +3
Business, Management and Accounting · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Digital Transformation in Industry #FOS: Computer and information sciences #Regional Development and Policy #Software Engineering (cs.SE) #University-Industry-Government Innovation Models
paper · pdf · doi:10.48550/arxiv.2406.18142
openalex publication_date 2024/06/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.