About EduTrust AI

Trustworthy AI in Education is an under-researched area. When it comes to the use of AI in society, academics focus on responsibility, accountability, and trust (e.g., in AI systems and ethics), while politically the focus is on social acceptance; trust is actually a complex social phenomenon. Thus, when looking at the trustworthy use of AI in the educational sector, we need research that takes both perspectives. It is not enough to have transparent, interpretable, and FAIR AI systems— they also need to be trusted by stakeholders and accepted by society at large.   

The trustworthiness of AI in education involves a multifaceted interplay between social, cultural and technical aspects of AI such as reliability, transparency, explainability, fairness, and accountability, and the intricate socio-technical dynamics among diverse groups of important stakeholders. Thus, trust lies within the complex web of interactions between different human and machine actors, various entities, and the regulatory system that comprises the ecosystem of the educational sector. 

Artificial Intelligence in Education: Layers of Trust (EduTrust AI) aims to deepen our understanding of the use of AI in education by:

1) identifying layers of trust associated with the use of AI in the educational sector that considers the complex accountability relationships (conceptual framework),

2) developing guidelines (educational, technological, and regulatory) for the application of AI in education to be adequately transparent, interpretable and accountable for various stakeholders,

3) developing targeted materials and tools for stakeholder groups for building and supporting trust in the use of AI in the educational sector, and

4) translating insights about legal, psychological and socio-cultural determinants of trust into legal requirements for the educational sector.