TRUSTED LEARNING COPILOT (TLC)

Annotation

TRUSTED LEARNING COPILOT addresses a growing challenge in European higher education: while generative AI is rapidly spreading, universities often lack a safe and institution-controlled way to use it for teaching and learning. Many academic staff remain cautious due to GDPR and data sovereignty constraints, limited transparency on how answers are produced, and concerns about inaccurate or non-contextual outputs. At the same time, institutions face unequal access to advanced AI capabilities and a lack of shared, sustainable models for deployment.

The project will develop and pilot a trusted approach for integrating AI into learning management systems (LMS), meaning the digital platforms used to prepare and manage courses, learning materials, assignments ans academic interaction like Moodle for exaple. The key principle is simple: AI support should rely only on validated academic documents provided by the institution or the teacher, so that outputs remain relevant, traceable and aligned with institutional knowledge and policies. The project will rely on European AI models and European hosting solutions, ensuring compliance with GDPR and institutional data governance requirements.

TRUSTED LEARNING COPILOT will deliver an open-source LMS integration, a tested institutional model for responsible AI deployment, and practical guidelines to help universities adopt the approach beyond the consortium. Through pilot implementations in real academic environments, the project will evaluate usability, governance mechanisms, scalability constraints and sustainability options. By doing so, it will support digital transformation and innovation in higher education while reinforcing trust, quality and institutional control in the use of AI.

Objectives

The project responds to a growing challenge in European higher education: universities need to integrate artificial intelligence into teaching in a way that is reliable, controlled and compliant with European data protection standards.

The project pursues three complementary objectives.

The first objective is to help higher education institutions integrate artificial intelligence in a controlled and sovereign way. The project will develop and test a model that allows universities to use AI tools while keeping full control over their data, their documents and the way AI generates responses. This contributes to strengthening institutional digital readiness and ensuring compliance with GDPR and internal governance rules.

The second objective is to support teachers and academic staff in using artificial intelligence in a meaningful and reliable way within learning management systems. The project will design and test a solution that generates answers only from validated academic documents provided by the institution or the teacher. This will help teachers prepare courses, structure content and develop learning materials with greater confidence in the accuracy and relevance of AI outputs.

The third objective is to validate a sustainable and transferable approach for institutional AI deployment in higher education. Through pilot implementations in real academic environments, the project will assess how this model performs in practice, how it can be scaled responsibly, and how it can remain financially and technically sustainable over time. The project will provide open tools and clear guidelines so that other European universities can adopt the approach.

Concrete results of the project include an open-source LMS integration, a tested AI integration model based on validated academic documents, governance guidelines for managing institutional knowledge, and dissemination materials to support adoption by European universities.

Project consortium

• Institut Mines-Télécom - IMT (F) coordinator

• ETHNICON METSOVION POLYTECHNION – NTUA (GR)

• SLOVENSKA TECHNICKA UNIVERZITA V BRATISLAVE – STUBA (SK)

• CGI (F)