Sustainability of Artificial Intelligence Systems

Description

This research area explores several dimensions of sustainability of Artificial Intelligence (AI) systems, with special emphasis on Machine Learning (ML) systems: environmental, economic, technical, social, and individual sustainability. The research aims to foster sustainability in all the stages of the MLOps/ML lifecycle.

Team

Silverio Martínez-Fernández
UPC (Principal Investigator)
Xavier Franch
UPC
Matias Martinez
UPC
Joel Castaño
UPC - MSc
Francisco Durán
UPC - MSc
Alexandra González
UPC - MSc
 
Santiago del Rey
UPC - PhD

Projects Overview

Title Type Goal
Towards green AI-based software systems: an architecture-centric approach Research To provide data scientists and software engineers tool-supported, architecture-centric methods for the modeling and development of green AI-based systems.
Generation of energy labels for certifying the efficiency of machine learning systems Technology transfer Studying the viability of tool-supported energy labels for certifying ML systems.
Greening AI with Software Engineering Research network Proposing to connect current developments in computer science applications with the urgency of transitioning to (and maintaining) a sustainable society.
Audiovisual and digital material for data engineering Teaching innovation Defining and improving university courses regarding the technical sustainability of ML systems in the MLOps lifecycle, including best software engineering practices for ML systems.

Outcomes/Main Contributions

Research:

Technology Transfer:

  • Tools for environmental and economic sustainability of ML systems, such as the GAISSALabel tool for energy efficiency label for ML systems.
  • Contributions to standards activities such as “ISO/IEC DTR 20226 Information technology — Artificial intelligence — Environmental sustainability aspects of AI systems” and the Spanish UNE working group CTN-UNE 71/SC 42/GT 1 "Evaluación de la eficiencia energética de los sistemas de inteligencia artificial."

Teaching:

Community:


Team Leader and Contact Person


Silverio Martínez-Fernández
Contact Silverio Martínez-Fernández