GREEN-AI: Grounding Research on Energy- and resource-Efficient Networks for sustainable AI

The GREEN-AI workshop invites submissions addressing methodological, empirical, and theoretical advances toward environmentally sustainable artificial intelligence. As AI systems continue to scale in size and computational demands, understanding and reducing their environmental footprint has become a central research challenge. GreenAI focuses on the sustainability of AI itself, spanning algorithm design, model development, evaluation, infrastructure efficiency, and lifecycle-aware deployment. The workshop aims to foster discussion and innovation around integrating environmental considerations as first-class objectives in machine learning research.

Following the CIKM guidelines, we do not allow remote participation. All the accepted contributions must be presented in presence.

For any questions regarding the workshop or submission process, please contact us at betello@diag.uniroma1.it, using [Workshop GREEN AI] as the subject line of your email.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.