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AI Student Fellows

How it works

Departments bring the problem. Fellows build the solution.

Many staff and faculty already use AI in their daily routines. Taking on bigger departmental workflows or complex datasets, however, often takes extra time and hands.

The Office of OneIT matches administrative teams with trained, Google-certified student AI Fellows to help design and implement practical AI solutions.

Recruitment and Training
OneIT recruits undergraduate students and trains them in responsible Generative AI practices and the Google AI Essentials curriculum.
Applied Department Projects
Fellows partner with campus units on short-term projects (typically under 40 hours). They focus on streamlining workflows, removing repetitive manual tasks, building prompt libraries, and growing team AI skills.
Safe, Approved Tools
Projects use university-supported tools—such as Gemini, Microsoft Copilot, and Google Notebook and follow all UNC Charlotte Generative AI guidelines to keep campus data secure.

Project Ideas

Here are a few ways AI Fellows can support your department:

Request an AI Fellow

Have a workflow challenge or repetitive task you would like to streamline?

Program Goals

By the end of the 2026–2027 fiscal year, the AI Fellows program aims to:

If you have a department AI project in mind and want to request an AI Fellow, complete this form.

Summer 2026 at a glance

Six departments put an AI Fellow to work on a specific, everyday problem.

6
projects matched with a Fellow
3 Administrative, 2 Academic and 1 Community Project
3
Colleges served
School of Social Work, Klein College of Science and University College
2
University Departments Served
UNC Charlotte Botanical Gardens and University Center for Academic Excellence
Multiple laptops with people working

“Rachel’s AI tool will expand collaborative learning among our health and human services pre-professional students. The technical aspects of coordinating across all of our graduate and undergraduate programs and courses is daunting and this tool really addresses that technical aspect.”

Shanti Kulkarni
Associate Dean for Research & Graduate Studies and Professor

AI News

AI Student Fellows

Contact us

If you have any questions, please contact Beth Rugg, beth.rugg@charlotte.edu or Katherine Bennett, katherine.bennett@charlotte.edu.