Google opens AI fellowship for university faculty as focus shifts to real-world adoption

20 Mar

New program targets educators already using AI, signaling a move from experimentation to institutional change across higher education.

Google has launched a Higher Education Faculty AI Fellowship, inviting university instructors to tackle practical challenges in teaching, research, and policy as AI adoption moves beyond early-stage experimentation.

The program, announced via LinkedIn posts from Google and affiliated leaders, brings together faculty already integrating AI into their work to address issues such as assessment design, governance, and student outcomes. It reflects a broader shift across higher education, where institutions are beginning to formalize how AI is used rather than simply testing tools.

Alon Sacks, Product Marketing at Google for Education, said in a LinkedIn post: “We just launched the Google Higher Ed Faculty AI Fellowship—a new program for academic pioneers shaping the future of education.”

He added: “We're convening leaders in higher ed to join us for an innovative research partnership designed to tackle the most pressing questions in academia.”

Focus on institutional challenges, not tools

The fellowship is structured around “impact challenges,” requiring participants to identify and solve a specific issue within their institution. These may include redesigning assessment models, developing AI policy frameworks, or improving student outcomes.

Neil Hoyne, Advisor at Google, wrote in a LinkedIn post: “Google has just opened up a Higher Ed Faculty AI Fellowship program.”

He added: “Since we’re moving past simple exploration of AI tools, we need people to decide what the future of learning actually looks like.”

Hoyne also outlined how the program will operate, noting in his post: “You’ll tackle an impact challenge by picking one specific, difficult problem at your school - like assessment models or policy - and spending your fellowship solving it.”

He added: “It also offers a chance for setting the new standards. For instance, giving you a platform to define what "responsible AI" actually means in a classroom.”

Alongside individual projects, fellows will work within a global cohort, reflecting a shift toward shared experimentation and cross-institution collaboration.

Partnership model links research, policy, and practice

Participants will work with Google Research and access AI tools and infrastructure to develop and test solutions. The program also includes an in-person component in London, positioning it as both a research initiative and a convening point for higher education leaders.

Sacks said in his LinkedIn post: “As a Fellow, you will: Solve High-Impact Challenges: Lead the way in redesigning assessments and shaping institutional AI policy.”

He added: “Innovate with Google Research: Build transparent, grounded AI models using Google’s cutting-edge resources.”

He also noted: “Collaborate Globally: Connect with a world-class cohort at our in-person Institute at Google London.”

Applications for the inaugural 2026 cohort are now open. Candidates are required to submit a portfolio of AI-related work, propose an institutional challenge, and provide a short video outlining their perspective on the future of AI in higher education.

Program structure and application process

The fellowship is designed for faculty already demonstrating practical use of AI in teaching or research. Applicants must submit a portfolio of innovation, including projects, publications, or course redesigns that show how AI has been applied to improve outcomes.

Candidates are also required to propose an “impact challenge” tied to their institution, as well as provide a letter of recommendation and a short video outlining their vision for AI in higher education.

The program combines remote collaboration with an in-person institute at Google’s London campus, where fellows will work alongside peers and access Google Research resources to develop and test solutions.

Participants will join a global network of faculty working on similar challenges, with a focus on advancing responsible AI and shaping institutional approaches to governance, assessment, and curriculum design.

While the fellowship offers access to tools, expertise, and a peer network, it also requires participants to self-fund travel and accommodation for in-person elements. The selection process is positioned as highly curated, with entry either through nomination by a Google leader or direct application.

The structure reflects a targeted approach to scaling AI in higher education, focusing on individuals already driving change within their institutions rather than broad-based training.