Author

Anne-Laure Ligozat

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Book Open access Oct 2026

Formalizing of modeling of the operational phase of a Digital Service System with regards to Life Cycle Assessment

Digital service systems (DSS) are complex systems characterized by the emergence, evolution and rapid adoption of the technologies they comprise, such as generative artificial intelligence. Their growing use significantly increases their impact on the environment. Although the Life Cycle Assessment (LCA) methodology, w...

F. Thiant, O. Penas, Yann Leroy et al. · Proceedings of the ACM/IEEE... · 0 citations

#machine learning Preprint Oct 2025

The Environmental Impacts of Language Model Training Keep Rising Now is the Time to Catch Impacts on the Rebound

It is found that energy use and environmental impacts associated with training ML models have increased exponentially, even when considering impact reduction strategies such as using less carbon intensive electricity mixes or more efficient hardware.

Clément Morand, Anne-Laure Ligozat, Aurélie Névéol · 3 citations · ⚡1

#machine learning Preprint Feb 2026

Is Knowledge Distillation Actually Greener? A Case Study in Machine Translation

This work evaluates representative KD methods both on bespoke MT models and LLMs, by considering both translation quality and computational cost, using the Machine Learning Life Cycle Assessment tool, which accounts for costs throughout the KD model life cycle.

Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat et al. · 0 citations