Artificial intelligence skills tests developed at the University of Montpellier have been certified by AFNOR

[Press Release] - Published on October 9, 2024 in Press Room

In early 2024, the University of Montpellier, the Montpellier Metropolitan Area, and the companies Numalis and BionomeeX launched an AFNOR Spec to introduce the first standardized test of artificial intelligence skills. Called AICET, short for “Artificial Intelligence Competence Evaluation Test,” it addresses the growing needs of businesses in the face of the rise of generative AI and the upcoming European AI regulations (AI Act). The AFNOR specification for artificial intelligence competency testing was published on Friday, October 4.

By providing a standardized way to assess an individual’s level of proficiency, AICET is a French and European response to one of the major challenges accompanying the ongoing AI revolution: understanding the key issues surrounding AI. These issues are wide-ranging and include regulatory, theoretical, technological, ethical, and environmental concerns…

Often referred to as the “TOEIC of AI,” this project aims to develop an artificial intelligence skills assessment designed for a broad audience, ranging from students to professionals, as well as businesses and organizations. This effort is made possible by combining scientific and technological expertise with an understanding of practical applications and expertise in standardization.

Artificial intelligence skills: high demand and the need to assess proficiency across various areas

This approach is unique in France and Europe. Designed for use both within companies and in the context of training students and teachers, the AICET is intended to be a certification rolled out as widely as possible. Conceived as a dynamic tool, the AICET will incorporate updates over time to keep pace with the rapid technological evolution of AI. This AICET test, or “TOEIC of AI,” consisting of questions rigorously developed and validated by a group of experts, will assess AI competencies across five key areas: general knowledge, legal and ethical considerations, applications, operations, and theory.

Already tested on both male and female students at the University of Montpellier (Polytech) and on people undergoing career retraining, this test is one of the cornerstones of Montpellier’s artificial intelligence projects. Gabriel Krouk, a research director at the CNRS and the inventor of the AICET concept, confirms this:“The idea for this test came about very naturally while working on Montpellier’s ambitious project. It is essential to have this type of tool.”

The AFNOR specification for artificial intelligence competency testing

The AFNOR specification serves as recognition of the quality and rigor of the work carried out at the University of Montpellier. It paves the way for the standardization of the test and its international rollout, thereby offering a unique opportunity to promote artificial intelligence skills around the world.