Imagine trying to get a safety sticker for a new car, but the rules are written in a language you don't speak. This project creates a translation guide and a digital checklist to help AI companies prove their tech is fair and safe. It's like a pre-inspection service that ensures your AI doesn't accidentally discriminate or leak private secrets before the official auditors arrive.
AI companies struggle to translate complex European regulations into technical requirements, leading to high compliance costs and delayed market entry. There is also a lack of standardized tools to prove an AI is unbiased, secure, and energy-efficient.
A certification platform, a directory of certification entities, tools for measuring dataset bias, and energy-reduction techniques for AI systems.
If you are a FinTech Loan Provider dealing with bias in credit scoring — this project developed tools to measure biases in datasets that ensure fair lending decisions. This helps avoid legal penalties and builds customer trust.
If you are a Medical AI Diagnostic Startup dealing with strict patient privacy laws — this project developed privacy protection tools and guidelines that simplify compliance with European regulations. This accelerates the path to official certification.
If you are an AI Infrastructure Provider dealing with high electricity bills and carbon footprints — this project developed techniques to reduce energy consumption when running AI systems. This lowers operational costs and meets green deal targets.
The project aims to help companies reach regulatory compliance in a timely manner and at reasonable cost by providing streamlined certification tools.
The project tests its results on 7 operational pilots across 6 different business areas to ensure real-world applicability.
Based on available project data, specific licensing terms are not mentioned, but the project delivers guidelines and technical tools for the AI value chain.
It translates regulations into business terms and builds a directory of certification entities to help companies navigate European regulations.
The project runs from 2025-01-01 to 2027-12-31, meaning tools will be developed and piloted during this window.
The consortium is heavily weighted toward commercial application, with 10 industry partners (48% ratio) and 7 SMEs. Led by IDEMIA Public Security France, the group spans 11 countries, combining the practical needs of AI deployers with the academic rigor of 6 universities and 1 research center.
Contact IDEMIA Public Security France regarding AI certification tools
Contact us to find the specific pilot results for your business sector.
