By joining the Coalition for Sustainable AI, Hardis Group underscores its commitment to leveraging innovative technologies pragmatically and responsibly—a priority that is becoming even more pressing with rapid advancements in artificial intelligence.
Grenoble, March 19, 2025 – Hardis Group, a French consulting and IT services company and supply chain software publisher, announces that it has joined the Coalition for Sustainable AI. This initiative, which builds on the company’s Sustainable IT program, launched several years ago, aims to help organizations shrink the environmental footprint of their artificial intelligence (AI) systems, while fostering the ethical, transparent, and inclusive development of the technology.
A collective effort in favor of sustainable AI
The Coalition for Sustainable AI is an initiative launched by France, in partnership with the United Nations Environment Programme (UNEP) and the International Telecommunication Union (ITU), with the support of several international organizations. Unveiled at the Paris AI Action Summit in February 2025, the initiative aims at building a global community of organizations committed to aligning AI development with sustainability goals and fostering AI technology that supports environmental policies.
Artificial intelligence is driving innovation and accelerating the digital transformation of organizations, but the large-scale rollout of this technology unquestionably comes with environmental, social, and societal costs
Rémy Dujardin, AI Program Director and Digital Responsibility Lead at Hardis Group
A pragmatic commitment to digital responsibility
As a member of the Coalition for Sustainable AI, Hardis Group takes a pragmatic approach to helping its customers assess, optimize, and deploy AI applications that align with sustainability goals.
The company has pledged to work with fellow coalition members on the following priorities:
- Developing standardized methods and indicators for measuring the environmental impact of AI systems throughout their life cycle, from design to end-of-life.
- Shrinking the carbon footprint of datacenters and improving their energy efficiency.
- Putting the potential of AI to work for the green transition.