EDSAFE AI Fellowships 2027 – Applications Open for AI in Education Leaders
The EDSAFE AI Fellowships 2027 are now accepting applications from education and technology leaders interested in shaping the future of artificial intelligence in education. The fellowships provide an opportunity to build knowledge, connect with an interdisciplinary cohort, receive mentorship and apply new AI knowledge through a practical project.
Applications are open for the AI Catalyst Fellowship, Women in AI Fellowship and Vanguard Fellowship. Applications must be submitted by 30 November 2026 at 10 p.m. EST, with successful Fellows expected to be announced in January 2027.
What Are the EDSAFE AI Fellowships?
The EDSAFE AI Fellowship is a leadership development programme designed to connect and empower underrepresented thought leaders working at the intersection of artificial intelligence and education.
The programme recognises that education is fundamentally a human enterprise and focuses on developing approaches to AI that are safe, evidence-based and centred on human judgment and agency.
The fellowship is not a full-time programme. Participants take part in interactive virtual workshops, cohort activities, mentorship and a project-based learning experience.
What Does the EDSAFE AI Fellowship Offer?
One of the central components of the fellowship is knowledge building. Fellows participate in interactive virtual workshops with experts in AI. The sessions cover foundational concepts while also exploring emerging trends and important issues through the EDSAFE SAFE framework.
Participants also become part of a cohort of 30 or more Fellows. This creates an opportunity to learn alongside professionals from different backgrounds, exchange perspectives and develop connections across the education and technology ecosystem.
The cohort receives mentorship from previous EDSAFE Fellows and gathers in person at least once during the year, providing an opportunity for deeper collaboration and relationship building.
Project-Based Learning
The fellowship includes a practical component that allows participants to apply what they have learned.
At the end of the programme, Fellows develop a microcapstone project that they build, shape and deploy in their own context.
This project-based approach allows participants to move beyond theoretical discussions about AI and explore how emerging technologies can be applied to real challenges in education.
EDSAFE AI Catalyst Fellowship
The Catalyst Fellowship brings together education leaders from both practice and industry.
The interdisciplinary fellowship is designed to connect the supply and demand sides of the education sector and support the development of a resilient, AI-enabled learning ecosystem.
Catalyst Fellows collaborate across traditional organisational and sector boundaries. The programme focuses on ensuring that emerging technologies are safe by design, grounded in evidence and designed to elevate human judgment and student agency.
This fellowship may be particularly relevant to education leaders, industry professionals and individuals working on the development or implementation of education technology.
EDSAFE Women in AI Fellowship
The Women in AI Fellowship is designed for women working at the forefront of technology and education.
The programme provides a collaborative environment focused on peer support, continuous learning and ecosystem connection.
It brings together practitioners, system leaders and EdTech innovators from across the education technology ecosystem. Fellows are encouraged to rethink learning systems powered by AI while maintaining a focus on safety, evidence and human agency.
The fellowship provides an opportunity for women working in education, technology and related fields to learn from peers and develop their understanding of responsible AI in education.
EDSAFE Vanguard Fellowship
The Vanguard Fellowship is designed alongside practitioners and field leaders working in educational institutions.
The programme creates a dedicated space for learning, peer support and ecosystem building among individuals serving in schools, school districts, states and other educational institutions.
Vanguard Fellows focus on designing resilient, AI-enabled learning systems based on real-world educational practice.
The programme emphasises ensuring that the future use of AI in education is safe by design, pedagogy-first and centred on human judgment.
Who Can Apply?
The information provided indicates that the EDSAFE AI Fellowship is designed for underrepresented thought leaders in artificial intelligence and education.
The three fellowship pathways provide different opportunities depending on the applicant’s professional background and area of work.
Applicants should review the specific requirements for the Catalyst, Women in AI and Vanguard Fellowships before submitting an application.
Application Deadline and Selection
Applications for the EDSAFE AI Fellowships are currently open.
The application deadline is:
30 November 2026 at 10 p.m. EST
Successful Fellows are expected to be announced in January 2027.
Applicants interested in participating should ensure that they submit their applications before the deadline and review the fellowship-specific requirements carefully.
How to Apply for the EDSAFE AI Fellowships
Interested applicants can apply for the fellowship that best matches their professional background and interests. The available options are the AI Catalyst Fellowship, Women in AI Fellowship and Vanguard Fellowship.
The EDSAFE AI Fellowship offers a valuable opportunity for education and technology professionals who want to understand AI more deeply, connect with peers and experts, and explore practical ways of using artificial intelligence while protecting human judgment, student agency and educational values.
For professionals interested in AI in education, EdTech, responsible artificial intelligence, education leadership and technology policy, the EDSAFE AI Fellowships provide an opportunity to develop knowledge while building relationships with a diverse international community of education and technology leaders.
