The AIxpertise joint project aims to build a structured, collaborative platform for experts to harness Artificial Intelligence (AI) for the nuclear energy sector with robustness and transparency. Project participants will engage in hands-on activities in three pillars: data, benchmarking and education. They will enhance knowledge, collect and curate data, and assess tools to apply AI solutions effectively and safely for the future of the nuclear energy sector.
AIxpertise will support the nuclear community move from AI awareness to AI capability.
The nuclear sector now needs practical ways to understand AI methods, test them, compare them, and deploy them responsibly. AIxpertise provides that route by bringing nuclear experts, AI specialists and data scientists together around real datasets, collaborative benchmark problems and training activities.
Building on more than 40 years of NEA data stewardship, AIxpertise gives members a hands-on role in turning nuclear datasets into AI-ready resources. Members do not just talk about data needs, they help shape how priority datasets are curated, documented, quality-checked, licensed, connected and made machine-readable through metadata, APIs, and repositories.
The result is practical access to better data, stronger collaboration across organisations, and a shared foundation for AI benchmarking, training and safety-relevant nuclear research.
The benchmarks pillar gives members a practical way to move from AI claims to tested results. Members work together to define benchmark problems, apply AI/ML methods to shared nuclear challenges, compare performances, assess explainability and robustness, and document lessons learned. The results are a common evidence base for understanding how AI/ML tools perform in nuclear science, engineering, and potentially safety-relevant applications.
The Education pillar turns project outputs into AI learning and exchanges for the nuclear community. Members gain access to hands-on exercises, workshops, AI/ML schools, hackathons and best-practice resources built around real data and benchmark activities. The result is a stronger workforce, reusable traiing content, and a community that learns AI/ML by applying it.
The first phase of the AIxpertise project will span three years, with development of the project scope in collaboration with interested parties. The project is expected to officially start in Q3 2026 and its first phase to progress until Q3 2029.
AIxpertise is still open to organisations ready to contribute to practical AI capabilities in nuclear research, engineering, education and safety.
To learn more about joining the project, contact the NEA AIxpertise team at: AIXPERTISE@oecd-nea.org.
The project will establish a collaborative platform to bring together stakeholders from research organisations, safety authorities, technical support organisations (TSOs), industry, academia, and technology companies.
Will be confirmed upon signing the Project Agreement.
AIXPERTISE@oecd-nea.org
Nuclear science
