Background and Motivation. The HEP-VS is a key academic institution for the education of children, adolescents, and young adults in Valais. The potential transformation that AI will enable in education is unprecedented, as AI technologies open opportunities but also involve significant risks. To incorporate AI as part of present and future educational programs, and effectively serve the multiple actors in the cantonal educational ecosystem – including HEPVS students, HEPVS faculty and instructors, teachers and students in public schools - a systematic institutional approach to acquire AI literacy (knowledge, skills, and abilities needed to effectively interact with AI technologies) is paramount.In parallel, Idiap, as a prominent institution in AI research, has been committed to inventing core advanced technologies, but also to design methods to facilitate the widespread understanding and use of these technologies, aligned with its “AI for Society’ mission. In particular, Idiap has recently developed a conceptual framework for AI Literacy, based on twelve competencies that span a range of needed knowledge, skills, and abilities, and focused on last-generation Generative AI technologies.HEP-VS and Idiap started discussions in 2024 to envision a long-term collaboration as key cantonal institutions in education and AI, with the ambitious objective of devising a systematic approach to support the HEP-VS reflect upon, acquire, and spread AI Literacy, based upon the HEP-VS’s specific needs and priorities, and contextualized with different actors of the cantonal educational ecosystem.Objective and methodology. The proposed one-year project presented here represents both a launching pad and a proof-of-concept of the Idiap/HEP-VS long-term collaboration. We will develop the systematic approach based on the twelve-competency Generative AI Literacy Framework and an “AI Literacy & Literacy with AI” approach that will integrate pedagogical, participatory, and technological methods. The project includes specific research activities to achieve 3 research objectives: (O1) assessment of the state of AI literacy for a population of HEP-VS students; (O2) co-design of customized educational modules for key components of the Generative AI Literacy Framework; and (O3) prototyping and initial testing of such modules. Importantly, some of the prototyping will use state-of-the-art AI as a tool to support AI literacy acquisition and assessment, thus integrating the expertise of Idiap in NLP and social computing, while HEP-VS will contribute to the research framework through its expertise, particularly in the areas of methodological design (educational sciences and disciplinary didactics), pedagogical design and experimentation (digital learning engineering and pedagogical facilitation), as well as in the analysis of the effectiveness and efficiency of classroom interventions and the evaluation of their implementation (statistics, cognitive psychology, epistemology of scientific inquiry, etc.). The conceptual framework proposed by Idiap for Gen AI literacy is directly aligned with the issue of effectiveness (learning outcomes) and efficiency (resource optimization) in the use of AI for learning across distinct disciplinary domains.Expected outcomes and impact. As research outputs, the project will produce an assessment of the state of AI Literacy of a sample of HEP-VS students; educational resources for Generative AI Literacy (both consolidated from existing ones, as well as novel resources developed in the project); and joint scientific publications. Furthermore, the impact beyond concrete research outputs includes the consolidation of the bi-institutional partnership about this important priority theme for both HEP-VS and Idiap, and the establishment of first joint scientific results, which are needed to apply for larger research and educational projects.