Environmental assessment of projects involving AI methods

Laurent Lefèvre (1) , Anne-Laure Ligozat (2, 3, 4) , Denis Trystram (5, 6) , Sylvain Bouveret (7) , Aurélie Bugeau (8, 9, 10) , Jacques Combaz (11) , Emmanuelle Frenoux (12) , Gaël Guennebaud (13) , Julien Lefèvre (14) , Jean-Philippe Nicolaï (15) , Karin Dassas (16)

1 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
2 ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise
3 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
4 ILES - Information, Langue Ecrite et Signée
5 UGA - Université Grenoble Alpes
6 DATAMOVE - Data Aware Large Scale Computing
7 ID-IMAG - Informatique et Distribution
8 UB - Université de Bordeaux
9 LaBRI - Laboratoire Bordelais de Recherche en Informatique
10 IUF - Institut universitaire de France
11 VERIMAG - IMAG - VERIMAG
12 AMI - Architectures et Modèles pour l'Interaction - LISN
13 MANAO - Melting the frontiers between Light, Shape and Matter
14 INT - Institut de Neurosciences de la Timone
15 EconomiX - EconomiX
16 CESBIO - Centre d'études spatiales de la biosphère

The objective of this document is to provide criteria for assessing the environmental impacts of responses to calls for projects involving Artificial Intelligence (AI) methods. When proposing these criteria, we take into account, in addition to the general impacts of digital services, the specificities of the AI field and in particular of machine learning: impacts of the learning and inference phases, data collection...

Domains: Computer Science [cs]

Laurent Lefèvre, Anne-Laure Ligozat, Denis Trystram, Sylvain Bouveret, Aurélie Bugeau, et al.. Environmental assessment of projects involving AI methods. 2023. ⟨hal-03922093⟩