AFNOR's Frugal AI Best Practices Dataset
Type : application
Organisation : Vume AI
Thème : safety_and_security
Mots-clés : ai,ai-agent,artificial-intelligence,intelligence-artificielle

Brief exploration of how VUME.AI integrated the 31 best practices from France's pioneering AFNOR Frugal AI standard to create an environmentally responsible open data platform. This case study demonstrates how a non-profit organization successfully implemented resource-efficient AI systems by prioritizing high-impact, low-effort practices across the entire AI lifecycle - from data collection to model deployment and maintenance.