Responsible use of AI in Education
"The focus should not be on whether AI is used, but on how it is implemented in a way that safeguards quality, reliability and professional autonomy."
Our Educational AI approach is based on a set of core principles that guide development, positioning and implementation. These principles provide a coherent foundation across pedagogical, didactic, legal and ethical dimensions. As the regulatory landscape for AI in education continues to evolve, Sanoma Learning applies a forward‑looking approach to compliance, treating it as an ongoing process, with the safeguards defined under the EU GDPR (General Data Protection Regulation).
Our solutions are grounded in pedagogical and curriculum alignment, ensuring they are based on learning objectives, levels and structured learning pathways, and aligned with existing educational practices. Human oversight remains central: education professionals determine how and when applications are used and retain responsibility for pedagogical and didactic decisions.
Development is evidence‑based, drawing on educational research, with a focus on demonstrable learning impact. Transparency and explainability are embedded by design, making it clear within which frameworks applications operate and how outputs are generated.
Privacy and compliance are built in from the outset, in line with GDPR and relevant AI regulations, following principles of data minimisation, security and compliance by design. Development follows a phased and responsible approach, with applications developed, tested and validated step by step, and positioning and communication evolving in line with the actual maturity of the solutions.
Finally, Educational AI is co‑created with the education field. Development takes place in close collaboration with teachers and schools, with structured integration of feedback from educational practice.
