OpenEdIAG: Integrating generative AI into education with confidence
Generative AI is transforming educational practices, but its adoption remains challenging due to issues of compliance, accessibility, and integration with existing systems. OpenEdIAG aims to overcome these barriers by developing open-source technological building blocks tailored to the needs of teachers, students, and EdTechs.
Thanks to the VisionsTrust data space solution, all stakeholders gain access to an interoperable infrastructure, ensuring smooth and secure integration of educational AI solutions into existing ecosystems.












Tangible benefits for every stakeholder through generative AI
Structured approach to responsible generative AI in education

OpenEdIAG establishes a secure and transparent framework for integrating generative AI into education.
The objective: to make AI accessible, explainable, and aligned with pedagogical standards.
- Modular technological components to meet the needs of teachers, students, and EdTech providers.
- Clear governance to ensure compliance with educational and regulatory frameworks.
- An open-source model to foster innovation and sector-wide adoption.
With this structured approach, OpenEdIAG empowers education stakeholders to experiment with and deploy AI with confidence.
Interoperability and transparency are at the heart of the project, ensuring smooth integration and responsible adoption.
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OpenEdIAG brings generative AI to education through a secure and interoperable infrastructure
OpenEdIAG leverages VisionsTrust to structure and secure the exchange of educational data within data spaces. With seamless interoperability and strict adherence to security and compliance standards, VisionsTrust connects education stakeholders to generative AI models. This approach facilitates the integration of open-source technological components and accelerates their large-scale adoption, ensuring an effective and responsible digital transition for education.