EDSAFE AI Fellowships 2027: Applications Open Worldwide for the Fully Funded 12-Month AI in Education Leadership Programme

<p>The rapid development of Artificial Intelligence (AI) is transforming education systems, changing how students learn, how teachers deliver instruction, and how educational institutions approach teaching, assessment and decision-making. As AI becomes increasingly integrated into classrooms and educational institutions, the need for responsible, ethical, safe and equitable AI adoption has never been greater.</p> <p>Recognizing this growing need, the EDSAFE AI Alliance has opened applications for its 2027 EDSAFE AI Fellowships, a 12-month leadership development programme designed to bring together education leaders, women in technology, researchers, policymakers, practitioners and other professionals interested in shaping the future of AI in education.</p> <p>The fellowship aims to build a global network of individuals who can contribute to the responsible integration of artificial intelligence into education systems. Through expert-led workshops, mentorship, collaborative learning, peer networking and project-based learning, participants will develop a deeper understanding of AI and its implications for education.</p> <p>The programme is particularly focused on ensuring that AI technologies are safe by design, grounded in evidence, ethically implemented and centered on human judgment, student agency and educational outcomes.</p> <p>The EDSAFE AI Alliance is offering three distinct fellowship pathways for 2027:</p> <ol> <li> <div> <div> <p>AI Catalyst Fellowship</p> </div> </div> </li> <li> <div> <div> <p>Women in AI Fellowship</p> </div> </div> </li> <li> <div> <div> <p>Vanguard Fellowship</p> </div> </div> </li> </ol> <p>Each fellowship has a different target audience, bringing together individuals from across the education and technology ecosystems to strengthen responsible AI adoption.</p> <div>Applications Open – 2027 Cohort</div> <div> <h1>November 30, 2026</h1> <p>Application Deadline</p> <p>10:00 p.m. Eastern Standard Time (EST)</p> <div></div> <div> <div> <h1>12 Months</h1> <p>Programme duration</p> </div> <div> <h1>2–4 Hours</h1> <p>Typical monthly commitment</p> </div> <div> <h1>Fully Funded</h1> <p>No participation fees</p> </div> <div> <h1>Worldwide</h1> <p>International applications welcomed, subject to fellowship eligibility</p> </div> </div> <p>Fellows will be announced in January 2027. The programme is expected to begin in January 2027.</p> </div> <h2>1. What Is the EDSAFE AI Fellowship?</h2> <p>The EDSAFE AI Fellowship is a leadership development initiative established to connect and empower underrepresented thought leaders in the field of Artificial Intelligence in education.</p> <p>The fellowship recognises that the future of education should not be shaped exclusively by technology developers or AI companies. Instead, educators, education administrators, researchers, policymakers, women technologists, institutional leaders and other stakeholders must actively participate in determining how AI technologies are developed, introduced and used within learning environments.</p> <p>The programme seeks to create opportunities for professionals from different backgrounds to understand emerging AI technologies, explore their implications for education and develop practical solutions to challenges associated with their implementation.</p> <p>Through a combination of interactive virtual workshops, mentorship, collaborative discussions and a practical microcapstone project, fellows will explore how AI can support educational development without compromising fundamental educational values.</p> <p>A central philosophy of the fellowship is that education is fundamentally a human enterprise. Therefore, AI should complement human expertise rather than replace the judgment, creativity, relationships and decision-making capabilities that are essential to effective education.</p> <p>The fellowship is designed around three important objectives:</p> <ul> <li> <div> <div> <p>Building knowledge: Developing a deeper understanding of artificial intelligence, its applications in education, emerging technologies and the ethical considerations associated with AI adoption.</p> </div> </div> </li> <li> <div> <div> <p>Strengthening professional networks: Connecting participants with a diverse international cohort, experienced mentors, education professionals and technology experts.</p> </div> </div> </li> <li> <div> <div> <p>Promoting practical innovation: Enabling fellows to develop and implement a microcapstone project that addresses a real-world AI-related challenge within their professional or educational context.</p> </div> </div> </li> </ul> <p>Unlike a conventional academic programme, the EDSAFE AI Fellowship is not a full-time educational course. It is a professional development opportunity that allows participants to continue their existing professional responsibilities while engaging in structured learning and collaborative activities.</p> <h2>2. Three EDSAFE AI Fellowship Opportunities for 2027</h2> <p>For the 2027 intake, the EDSAFE AI Alliance is offering three specialised fellowship programmes. Although all three share a commitment to safe, equitable and responsible AI in education, each pathway is designed for a different professional community.</p> <h3>A. AI Catalyst Fellowship</h3> <div> <div>The AI Catalyst Fellowship is designed to bring together education leaders and professionals from both the education practice and technology industry.</div> </div> <p>The fellowship recognises that successful AI integration requires collaboration between the people who develop educational technologies and the people who use, implement, regulate and evaluate them.</p> <p>For example, technology developers may understand the technical capabilities of AI systems, but teachers and education administrators have practical knowledge of classroom requirements, student learning needs and institutional challenges. Bringing these perspectives together can help create AI solutions that are more relevant, accessible and effective.</p> <p>The Catalyst Fellowship seeks to bridge this gap by building an interdisciplinary community of professionals who can collectively contribute to a resilient, AI-enabled education ecosystem.</p> <p>Key focus areas of the Catalyst Fellowship</p> <p>1. Responsible AI integration in education: Understanding how AI technologies can be introduced into educational institutions while prioritising safety, fairness and accountability.</p> <p>2. Collaboration between education and technology sectors: Encouraging partnerships between education practitioners, technology companies, researchers, policymakers and other stakeholders.</p> <p>3. Evidence-based educational innovation: Promoting the use of research, evidence and practical experience when designing and implementing AI-enabled educational solutions.</p> <p>4. Student agency and human judgment: Ensuring that AI supports students&#8217; ability to learn, think critically, make decisions and participate actively in their education.</p> <p>5. Building resilient learning ecosystems: Exploring how educational institutions can adapt to technological changes while maintaining inclusive and high-quality learning environments.</p> <p><strong>Who is eligible for the Catalyst Fellowship?</strong></p> <p>The Catalyst Fellowship is open to individuals passionate about the use of AI in education who identify with the following professional categories:</p> <ul> <li> <div> <div> <p>Educational leaders.</p> </div> </div> </li> <li> <div> <div> <p>School and institutional administrators.</p> </div> </div> </li> <li> <div> <div> <p>Teachers and education practitioners.</p> </div> </div> </li> <li> <div> <div> <p>Researchers working on education and technology.</p> </div> </div> </li> <li> <div> <div> <p>Policymakers interested in AI and educational development.</p> </div> </div> </li> </ul> <p>The programme is particularly relevant to individuals who want to understand how AI can improve learning outcomes and contribute to the development of responsible education systems.</p> <p>Application eligibility: Open to worldwide applicants.</p> <h3>B. Women in AI Fellowship</h3> <div> <div>The Women in AI Fellowship is designed to support women who are contributing to or interested in shaping the future of artificial intelligence in education.</div> </div> <p>Women remain an important but often underrepresented part of the global technology and AI ecosystem. As AI increasingly influences education, employment, research and public policy, it is essential to ensure that women have meaningful opportunities to participate in technological innovation and leadership.</p> <p>This fellowship creates a collaborative environment where women working across technology and education can develop their knowledge, exchange experiences, establish professional connections and explore opportunities for innovation.</p> <p>The programme also seeks to strengthen the representation of women in discussions concerning the ethical development and implementation of AI in educational institutions.</p> <p>Key focus areas of the Women in AI Fellowship</p> <p>1. Women&#8217;s leadership in artificial intelligence: Supporting women who want to contribute to AI development, educational innovation and technology-related decision-making.</p> <p>2. AI and educational transformation: Exploring how AI can reshape teaching, learning, assessment and educational administration.</p> <p>3. Professional development and mentorship: Providing opportunities to learn from experienced professionals, mentors and other fellows.</p> <p>4. Building an inclusive AI ecosystem: Encouraging diverse perspectives in the design, development and implementation of educational technologies.</p> <p>5. Collaboration across sectors: Connecting women technologists, education leaders, researchers and innovators to develop practical approaches to responsible AI adoption.</p> <p>Who is eligible for the Women in AI Fellowship?</p> <p>The fellowship is open to individuals who identify as women and are passionate about the use of artificial intelligence in education.</p> <p>The eligible professional categories include:</p> <ul> <li> <div> <div> <p>Women technologists: Women working in AI development, software engineering, data science and related technology fields who are interested in applying their expertise to education.</p> </div> </div> </li> <li> <div> <div> <p>Educational leaders: Women working as administrators, teachers, researchers and policymakers who are interested in exploring the potential of AI to improve learning outcomes.</p> </div> </div> </li> </ul> <p>The programme is particularly suitable for women who want to strengthen their professional understanding of AI, expand their networks and contribute to the future of technology-enabled education.</p> <p>Application eligibility: Open to worldwide applicants.</p> <h3>C. Vanguard Fellowship</h3> <div> <div>The Vanguard Fellowship is designed specifically for education professionals and institutional leaders who are directly involved in the implementation and delivery of education, particularly within K-12 learning environments.</div> </div> <p>K-12 education encompasses kindergarten through Grade 12 and represents a critical stage in children&#8217;s academic, intellectual and social development.</p> <p>As AI technologies become increasingly accessible to students and educators, schools and educational institutions face important questions concerning responsible technology adoption, teaching methodologies, student safety, data protection and the quality of learning.</p> <p>The Vanguard Fellowship aims to equip education practitioners and institutional decision-makers with the knowledge, professional connections and practical insights necessary to address these challenges.</p> <p>Unlike programmes primarily focused on technology development, the Vanguard Fellowship places particular emphasis on real-world educational practice.</p> <p>Participants will explore how AI can be integrated into existing educational systems while ensuring that teaching and learning remain pedagogy-first, safe, inclusive and centred on human judgment.</p> <p>Key focus areas of the Vanguard Fellowship</p> <p>1. AI implementation in K-12 education: Understanding how schools and educational institutions can responsibly introduce AI into teaching and learning environments.</p> <p>2. Pedagogy-first approaches: Ensuring that educational objectives, student development and effective teaching practices guide the adoption of AI technologies.</p> <p>3. Safe and equitable AI systems: Examining how educational institutions can address risks relating to bias, privacy, safety, accessibility and responsible technology use.</p> <p>4. Institutional leadership and capacity building: Strengthening the ability of teachers, school administrators and education authorities to make informed decisions about AI adoption.</p> <p>5. Peer learning and professional collaboration: Creating opportunities for education professionals to exchange experiences, discuss implementation challenges and develop practical solutions.</p> <p>Who is eligible for the Vanguard Fellowship?</p> <p>The Vanguard Fellowship is open to individuals currently working in K-12 education who are passionate about the use of AI in educational environments.</p> <p>Eligible professional categories include:</p> <ul> <li> <div> <div> <p>Classroom teachers across all subject areas.</p> </div> </div> </li> <li> <div> <div> <p>Instructional coaches.</p> </div> </div> </li> <li> <div> <div> <p>School and site administrators.</p> </div> </div> </li> <li> <div> <div> <p>District administrators.</p> </div> </div> </li> <li> <div> <div> <p>Information technology professionals working in K-12 education.</p> </div> </div> </li> <li> <div> <div> <p>Professionals whose responsibilities include implementing AI within K-12 educational settings.</p> </div> </div> </li> <li> <div> <div> <p>Employees of regional education agencies.</p> </div> </div> </li> <li> <div> <div> <p>Employees of education services agencies.</p> </div> </div> </li> <li> <div> <div> <p>Employees of state education agencies working to shape the conditions for safe AI adoption in K-12 education.</p> </div> </div> </li> </ul> <p>Important eligibility consideration: Preference is given to applicants based in the United States.</p> <p>International applicants should carefully assess whether their professional background and location align with the Vanguard Fellowship&#8217;s selection priorities.</p> <h2>3. What Will Fellows Learn During the Programme?</h2> <p>One of the major components of the EDSAFE AI Fellowship is its structured learning experience.</p> <p>Selected fellows will participate in a series of interactive virtual workshops led by experts working in artificial intelligence, education and related fields.</p> <p>The workshops are intended to provide participants with both foundational knowledge and opportunities to explore emerging developments in AI.</p> <p>The learning experience is organised around the SAFE framework, which provides the foundation for the fellowship&#8217;s approach to responsible AI in education.</p> <p>Rather than focusing exclusively on technical aspects, the programme encourages participants to understand the broader implications of AI for students, teachers, educational institutions and society.</p> <p>The learning experience includes:</p> <p>1. Understanding the fundamentals of artificial intelligence</p> <p>Participants will develop foundational knowledge of AI, including its applications, capabilities, limitations and growing influence on education.</p> <p>This is particularly useful for education professionals who may not have a technical background but want to understand how AI technologies can be incorporated into their institutions.</p> <p>2. Exploring emerging AI developments</p> <p>The workshops will also examine emerging trends and important discussions surrounding AI in education.</p> <p>Participants will have opportunities to explore how new technologies are changing educational practices and what these developments mean for the future of learning.</p> <p>3. Examining ethical and responsible AI</p> <p>Responsible AI adoption requires more than technological innovation. It also involves addressing questions of transparency, fairness, accountability, privacy, safety and equitable access.</p> <p>The fellowship provides opportunities to examine these issues and understand how they influence educational decision-making.</p> <p>4. Learning from international experts</p> <p>Participants will interact with experts working in AI and education, gaining exposure to different professional perspectives, research developments and practical experiences.</p> <p>5. Applying knowledge to real-world challenges</p> <p>The fellowship is not limited to theoretical discussions. Participants will apply their learning through a microcapstone project designed around a challenge or opportunity within their own professional or educational context.</p> <h2>4. The SAFE Framework: Promoting Responsible AI in Education</h2> <p>An important feature of the EDSAFE AI Alliance&#8217;s approach is its emphasis on the SAFE framework.</p> <p>The fellowship uses this framework as a foundation for exploring how AI technologies can be introduced into education responsibly.</p> <p>The broader objective is to ensure that AI-enabled learning environments are designed around the interests, rights and needs of students and educators.</p> <p>The SAFE approach encourages participants to examine the relationship between technology, educational outcomes, institutional responsibility and human agency.</p> <p>For education leaders, this is particularly important because the introduction of AI into schools and educational institutions can create opportunities while also introducing new challenges.</p> <p>These include:</p> <ul> <li> <div> <div> <p>Protecting students&#8217; personal information and educational data.</p> </div> </div> </li> <li> <div> <div> <p>Addressing algorithmic bias and discrimination.</p> </div> </div> </li> <li> <div> <div> <p>Ensuring equitable access to AI-enabled educational tools.</p> </div> </div> </li> <li> <div> <div> <p>Maintaining transparency in AI-supported decision-making.</p> </div> </div> </li> <li> <div> <div> <p>Protecting children&#8217;s safety and wellbeing in digital environments.</p> </div> </div> </li> <li> <div> <div> <p>Ensuring that teachers remain central to educational decision-making.</p> </div> </div> </li> <li> <div> <div> <p>Promoting critical thinking and independent learning among students.</p> </div> </div> </li> </ul> <p>Through workshops and discussions, fellows will explore how these considerations can inform responsible AI adoption.</p> <h2>5. Learn Alongside an International Cohort of Professionals</h2> <p>Another important benefit of the EDSAFE AI Fellowship is the opportunity to become part of an interdisciplinary learning community.</p> <p>The fellowship brings together a cohort of more than 30 participants who will learn, collaborate and exchange perspectives throughout the programme.</p> <p>Participants will represent different professional backgrounds, experiences, institutions and areas of expertise.</p> <p>This diversity is particularly valuable because AI in education is not a challenge that can be addressed by one professional sector alone.</p> <p>For example:</p> <ul> <li> <div> <div> <p>Teachers can contribute practical insights into classroom requirements.</p> </div> </div> </li> <li> <div> <div> <p>Researchers can provide evidence and analytical perspectives.</p> </div> </div> </li> <li> <div> <div> <p>Policymakers can contribute knowledge of regulatory and institutional frameworks.</p> </div> </div> </li> <li> <div> <div> <p>Technology professionals can explain AI development and implementation.</p> </div> </div> </li> <li> <div> <div> <p>Education administrators can identify institutional challenges and opportunities.</p> </div> </div> </li> <li> <div> <div> <p>Civil society professionals can contribute perspectives on inclusion, equity and children&#8217;s rights.</p> </div> </div> </li> </ul> <p>By bringing these perspectives together, the fellowship seeks to create a collaborative environment in which participants can develop a more comprehensive understanding of AI in education.</p> <p>Mentorship opportunities</p> <p>Fellows will also receive mentorship from previous EDSAFE Fellows.</p> <p>This provides an opportunity to learn from individuals who have already participated in the programme and can share their experiences, professional insights and lessons from their fellowship journey.</p> <p>In-person gathering</p> <p>Although the programme is primarily virtual, the cohort will gather in person at least once during the fellowship year.</p> <p>This provides an additional opportunity for participants to strengthen professional relationships, exchange ideas and build connections beyond virtual workshops.</p> <h2>6. Project-Based Learning: Develop Your Own Microcapstone Project</h2> <p>The EDSAFE AI Fellowship places significant emphasis on applying knowledge to practical challenges.</p> <p>At the end of the learning experience, fellows will develop a microcapstone project that they can build, shape and deploy within their own professional or educational context.</p> <p>This project-based component allows participants to move beyond discussions about responsible AI and explore how their knowledge can contribute to real-world improvements.</p> <p>Rather than following a single predetermined project topic, fellows will have the opportunity to identify a relevant challenge based on their professional experience, interests and institutional environment.</p> <p>Potential areas of exploration could include:</p> <ul> <li> <div> <div> <p>Developing approaches to responsible AI use in schools.</p> </div> </div> </li> <li> <div> <div> <p>Improving digital literacy and AI awareness among students.</p> </div> </div> </li> <li> <div> <div> <p>Exploring inclusive AI-enabled learning environments.</p> </div> </div> </li> <li> <div> <div> <p>Supporting teachers in understanding and using AI tools.</p> </div> </div> </li> <li> <div> <div> <p>Examining ethical concerns surrounding AI-supported assessments.</p> </div> </div> </li> <li> <div> <div> <p>Promoting student agency and critical thinking in AI-enabled classrooms.</p> </div> </div> </li> <li> <div> <div> <p>Exploring equitable access to AI technologies in underserved communities.</p> </div> </div> </li> </ul> <p>These are illustrative examples of possible areas of interest, not an official list of prescribed capstone topics.</p> <p>The microcapstone is intended to help fellows translate their learning into practical initiatives that can contribute to the wider conversation on responsible AI in education.</p> <h2>7. Benefits of the EDSAFE AI Fellowship</h2> <p>The fellowship offers several professional and learning opportunities for selected participants.</p> <h3>A. Develop expertise in AI and education</h3> <p>Fellows will learn from experts in artificial intelligence and education through interactive workshops and discussions.</p> <p>This will help participants strengthen their understanding of AI technologies, their educational applications and the challenges associated with their responsible use.</p> <h3>B. Access mentorship and professional guidance</h3> <p>Participants will benefit from mentorship from previous EDSAFE Fellows.</p> <p>This provides opportunities to receive guidance, exchange ideas and gain insights from individuals with experience in the fellowship programme.</p> <h3>C. Build an international professional network</h3> <p>The programme connects participants with a diverse cohort of more than 30 professionals.</p> <p>Fellows will have opportunities to establish relationships with educators, researchers, technology professionals, policymakers and other individuals interested in the future of AI in education.</p> <h3>D. Develop and implement a practical project</h3> <p>Through the microcapstone, participants will apply their learning to a real-world challenge.</p> <p>This provides an opportunity to develop a project that reflects their professional interests and contributes to responsible AI adoption in their own context.</p> <h3>E. Contribute to global discussions on AI in education</h3> <p>The fellowship aims to amplify the voices of individuals working towards the ethical and responsible use of AI in education.</p> <p>Fellows will become part of a wider community contributing perspectives on how emerging technologies can support inclusive, safe and effective learning environments.</p> <h3>F. Strengthen leadership and collaboration skills</h3> <p>By participating in workshops, group discussions, mentorship activities and project development, fellows can strengthen their ability to collaborate across professional sectors and contribute to education-related innovation.</p> <h2>8. Programme Duration, Time Commitment and Learning Format</h2> <p>The EDSAFE AI Fellowship is designed as a flexible professional development programme that participants can undertake alongside their existing professional and academic commitments.</p> <p>The programme is not full-time.</p> <p>The key programme details are as follows:</p> <div> <div> <table> <tbody> <tr> <th>Programme component</th> <th>Details</th> </tr> <tr> <td>Programme duration</td> <td>12 months</td> </tr> <tr> <td>Expected start</td> <td>January 2027</td> </tr> <tr> <td>Learning format</td> <td>Primarily virtual</td> </tr> <tr> <td>Learning activities</td> <td>Expert-led workshops and group discussions</td> </tr> <tr> <td>Monthly time commitment</td> <td>Approximately 2–4 hours</td> </tr> <tr> <td>Cohort size</td> <td>More than 30 fellows</td> </tr> <tr> <td>Mentorship</td> <td>Previous EDSAFE Fellows</td> </tr> <tr> <td>In-person gathering</td> <td>At least one gathering during the year</td> </tr> <tr> <td>Practical component</td> <td>Microcapstone project</td> </tr> <tr> <td>Participation cost</td> <td>Fully funded; no participation fees</td> </tr> <tr> <td>Honorarium</td> <td>No honorarium or compensation</td> </tr> </tbody> </table> </div> </div> <p>The estimated monthly commitment of two to four hours includes participation in virtual workshops, group discussions and work associated with the capstone project.</p> <p>Applicants should note that the programme does not offer a salary, stipend or honorarium. Its benefits are primarily professional development, learning, mentorship, networking and opportunities to contribute to responsible AI in education.</p> <h2>9. Who Should Apply for the EDSAFE AI Fellowships?</h2> <p>The fellowships are designed for individuals who are interested in understanding and shaping the future of artificial intelligence in education.</p> <p>However, applicants should select the fellowship that best matches their professional background and current responsibilities.</p> <p>The three programmes offer different pathways:</p> <div> <div> <table> <tbody> <tr> <th>Fellowship</th> <th>Intended applicants</th> <th>Geographic eligibility</th> </tr> <tr> <td>AI Catalyst Fellowship</td> <td>Education leaders, teachers, administrators, researchers and policymakers</td> <td>Worldwide</td> </tr> <tr> <td>Women in AI Fellowship</td> <td>Women technologists and women education leaders</td> <td>Worldwide</td> </tr> <tr> <td>Vanguard Fellowship</td> <td>K-12 educators, administrators, technology professionals and relevant education agency employees</td> <td>Preference for US-based applicants</td> </tr> </tbody> </table> </div> </div> <p>Which fellowship should you choose?</p> <ul> <li> <div> <div> <p>Choose the Catalyst Fellowship if you work in education, research, institutional leadership or policymaking and want to explore the relationship between AI and educational transformation.</p> </div> </div> </li> <li> <div> <div> <p>Choose the Women in AI Fellowship if you identify as a woman working in technology, AI development, data science, education leadership, research or policymaking and want to contribute to AI-enabled education.</p> </div> </div> </li> <li> <div> <div> <p>Choose the Vanguard Fellowship if you currently work in K-12 education and have responsibilities related to teaching, educational administration, institutional leadership or AI implementation.</p> </div> </div> </li> </ul> <p>Applicants should review the individual application requirements and eligibility conditions before submitting their applications.</p> <h2>10. Application Process and Important Dates</h2> <p>Applications for the 2027 EDSAFE AI Fellowships are currently open.</p> <p>Interested candidates can apply through the official EDSAFE AI Alliance fellowship application pages.</p> <p>Important application deadline:</p> <div> <div>Final Deadline</div> <h1>30 November 2026</h1> <p>10:00 p.m. Eastern Standard Time (EST)</p> <p>Applications submitted after the deadline will not be accepted.</p> </div> <h3>Important dates for the 2027 fellowship</h3> <div> <div> <table> <tbody> <tr> <th>Event</th> <th>Timeline</th> </tr> <tr> <td>Applications open</td> <td>November 2026</td> </tr> <tr> <td>Application deadline</td> <td>November 30, 2026</td> </tr> <tr> <td>Deadline time</td> <td>10:00 p.m. EST</td> </tr> <tr> <td>Selection notifications</td> <td>Late December 2026</td> </tr> <tr> <td>Public announcement of selected fellows</td> <td>January 2027</td> </tr> <tr> <td>Fellowship commencement</td> <td>January 2027</td> </tr> <tr> <td>Programme duration</td> <td>12 months</td> </tr> </tbody> </table> </div> </div> <p>The selection process is competitive. The selection committee represents a diversity of perspectives and organisations within the EDSAFE AI Alliance.</p> <p>Self-nominations are welcome, meaning interested individuals can apply independently without requiring a nomination from another organisation or individual.</p> <p>Applicants are encouraged to submit their applications before the deadline rather than waiting until the final day.</p> <h2>11. Selection Criteria: How Will Applicants Be Evaluated?</h2> <p>The EDSAFE AI Alliance uses a competitive selection process to identify individuals who demonstrate the potential to contribute meaningfully to the future of AI in education.</p> <p>Applications will be assessed by a selection committee representing different perspectives and organisations within the alliance.</p> <p>The selection process considers several factors.</p> <p>1. Demonstrated commitment to the ethical use of AI in education</p> <p>Applicants should demonstrate a genuine interest in understanding and promoting the responsible, ethical, safe and equitable use of AI in educational environments.</p> <p>This may include professional experience, research interests, institutional initiatives or other relevant engagement with AI and education.</p> <p>2. Leadership potential</p> <p>The selection committee will consider applicants&#8217; potential to contribute to the development of responsible AI-enabled education systems.</p> <p>Leadership does not necessarily mean holding a senior institutional position. It can also involve demonstrating initiative, contributing to professional communities, developing new ideas or supporting positive changes within educational environments.</p> <p>3. Diversity of experience and background</p> <p>The fellowship aims to bring together individuals with different professional experiences and perspectives.</p> <p>Applicants from education, technology, research, policymaking and related sectors can contribute to the interdisciplinary nature of the programme, provided they meet the relevant fellowship eligibility requirements.</p> <p>4. Quality of application materials</p> <p>The overall quality of the application is also an important consideration.</p> <p>Applicants should clearly communicate their professional experience, interest in AI in education, leadership potential and reasons for wanting to participate in the fellowship.</p> <p>A strong application should explain how the candidate intends to use the fellowship&#8217;s learning opportunities and contribute to the wider AI and education ecosystem.</p> <h2>12. Is the EDSAFE AI Fellowship Fully Funded?</h2> <p>Yes. The EDSAFE AI Fellowships are fully funded in the sense that there is no participation fee or programme cost for selected fellows.</p> <p>Participants can access the fellowship&#8217;s learning activities, workshops, mentorship and professional networking opportunities without paying a programme participation fee.</p> <p>However, applicants should understand the distinction between a fully funded professional development programme and a paid fellowship.</p> <p>The EDSAFE AI Fellowship does not provide an honorarium or compensation.</p> <p>The published information also does not specify travel funding, accommodation support or reimbursement for attending the in-person gathering. Applicants should consult the official FAQ or contact the fellowship organisers if they require clarification about these arrangements.</p> <h2>13. Frequently Asked Questions (FAQs)</h2> <h3>1. What is the EDSAFE AI Fellowship?</h3> <p>The EDSAFE AI Fellowship is a 12-month professional leadership development programme designed to connect and empower individuals working towards the responsible use of artificial intelligence in education. It offers workshops, mentorship, networking and a practical microcapstone project.</p> <h3>2. Are applications open to international candidates?</h3> <p>Yes. The Catalyst Fellowship and Women in AI Fellowship are open to worldwide applicants. The Vanguard Fellowship is also described as open to eligible applicants, but preference is given to individuals based in the United States.</p> <h3>3. What are the three types of EDSAFE AI Fellowships?</h3> <p>The three fellowship opportunities are:</p> <ul> <li> <div> <div> <p>AI Catalyst Fellowship.</p> </div> </div> </li> <li> <div> <div> <p>Women in AI Fellowship.</p> </div> </div> </li> <li> <div> <div> <p>Vanguard Fellowship.</p> </div> </div> </li> </ul> <p>Each programme has different eligibility requirements and target professional communities.</p> <h3>4. Is the EDSAFE AI Fellowship a full-time programme?</h3> <p>No. The fellowship is not full-time. Participants are generally expected to commit approximately two to four hours each month.</p> <h3>5. How long does the fellowship last?</h3> <p>The programme runs for 12 months and is scheduled to begin in January 2027.</p> <h3>6. Is the fellowship fully funded?</h3> <p>Yes. There is no participation fee or programme cost for selected fellows.</p> <h3>7. Does the fellowship provide a stipend or salary?</h3> <p>No. The fellowship does not provide an honorarium or compensation.</p> <h3>8. Will participants receive mentorship?</h3> <p>Yes. Fellows will receive mentorship from previous participants of the EDSAFE AI Fellowship.</p> <h3>9. Will the fellowship be conducted online?</h3> <p>The fellowship is primarily virtual, with interactive workshops and group discussions. However, the cohort will gather in person at least once during the programme year.</p> <h3>10. What is the microcapstone project?</h3> <p>The microcapstone is a practical project that fellows will develop and shape using the knowledge gained during the fellowship. It is intended to address a real-world AI-related challenge within the participant&#8217;s professional or educational context.</p> <h3>11. When will selected fellows be announced?</h3> <p>The EDSAFE AI Alliance expects to announce the selected fellows in January 2027. Successful applicants are expected to receive notifications in late December 2026.</p> <h3>12. Can individuals nominate themselves?</h3> <p>Yes. Self-nominations are welcome. Interested candidates can apply independently.</p> <h3>13. What is the application deadline?</h3> <p>The application deadline is November 30, 2026, at 10:00 p.m. Eastern Standard Time (EST). Late applications will not be accepted.</p> <h3>14. Can someone without a technical background apply?</h3> <p>Yes, depending on the fellowship. The Catalyst Fellowship and Women in AI Fellowship explicitly include education leaders, teachers, researchers and policymakers, not only technology professionals. Applicants should demonstrate an interest in AI and education and meet the eligibility criteria for their selected programme.</p> <h2>14. How to Apply for the EDSAFE AI Fellowships 2027</h2> <p>Interested applicants can explore the three fellowship opportunities and submit their applications through the official EDSAFE AI Alliance website.</p> <div> <p>Official application links</p> <div> <div> <p>AI Catalyst Fellowship</p> <p>For education leaders, practitioners, researchers and policymakers.</p> <p>Click <a href="https://docs.google.com/forms/d/e/1FAIpQLSeywAQQLdUfotIEy9Ga1DSMuWuWMzSK-CrcvDcc1GajsyWQhg/viewform" target="_blank" rel="noopener">HERE</a> to apply</p> <p>&nbsp;</p> <p>Women in AI Fellowship</p> </div> </div> <div> <p>For women technologists and education leaders.</p> <p>Click<a href="https://docs.google.com/forms/d/e/1FAIpQLSeCJLK6oSJR0VV7LQPKa64WfUThLgonbrCT-pKFLuedGrIPeg/viewform" target="_blank" rel="noopener"> HERE</a> to apply</p> </div> <div></div> <div> <p>Vanguard Fellowship</p> <p>For K-12 educators, administrators and education professionals.</p> <p>Click <a href="https://docs.google.com/forms/d/e/1FAIpQLSdVu6AGtU3bd4DEIvQDvaRO61lreIVWUCCW8EU8c2NWodjvug/viewform" target="_blank" rel="noopener">HERE</a> to apply</p> <p>&nbsp;</p> <p>Click <a href="https://www.edsafeai.org/fellowship?utm_source=chatgpt.com" target="_blank" rel="noopener">HERE</a> for more information about this opportunity.</p> </div> </div> <h2>Conclusion</h2> <p>The EDSAFE AI Fellowships 2027 offer a valuable opportunity for education professionals, women in technology, researchers, policymakers and institutional leaders to become part of the growing global conversation on responsible artificial intelligence in education. Through its three specialised pathways — the AI Catalyst Fellowship, Women in AI Fellowship and Vanguard Fellowship — the programme aims to bring together diverse perspectives, strengthen professional networks and equip participants with the knowledge and practical skills needed to shape the future of AI-enabled learning.</p> <p>With expert-led workshops, mentorship from previous fellows, international peer collaboration and a practical microcapstone project, the fellowship provides a platform for participants to transform their ideas into meaningful contributions within their professional and educational environments. Its emphasis on ethical AI, safety, equity, evidence-based innovation and human-centred learning makes it particularly relevant as educational institutions navigate the opportunities and challenges of emerging technologies.</p> <p>For individuals passionate about educational transformation, digital innovation and the responsible use of AI, this fellowship presents an opportunity to strengthen their leadership capabilities, expand their professional networks and contribute to building more inclusive and future-ready education systems.</p> <p><strong>Interested candidates should review the eligibility requirements and submit their applications by November 30, 2026, at 10:00 p.m. EST.</strong> With applications open worldwide for the Catalyst and Women in AI pathways, the 2027 cohort offers an opportunity to contribute to a future where artificial intelligence strengthens education while keeping students, educators and human potential at its center.</p> <p>&nbsp;</p> <p>Disocver more global fellowship opportunities on Opportunities for Youth (OFY) website. Click <a href="https://opportunitiesforyouth.org/?s=FELLOWSHIP+" target="_blank" rel="noopener">Here</a> to learn more.</p> <p>The post <a rel="nofollow" href="https://opportunitiesforyouth.org/2026/11/05/edsafe-ai-fellowships-2027-applications-open-worldwide-for-the-fully-funded-12-month-ai-in-education-leadership-programme/">EDSAFE AI Fellowships 2027: Applications Open Worldwide for the Fully Funded 12-Month AI in Education Leadership Programme</a> appeared first on <a rel="nofollow" href="https://opportunitiesforyouth.org">Opportunities for Youth</a>.</p>