NSF Award $661K for Intergenerational

A.I. Summary

The National Science Foundation has awarded a three-year, $661,478 grant to researchers at George Mason University and the College of William & Mary for a project titled “Enhancing AI Literacy and Resilience through Intergenerational Digital Storytelling among Older Adults.” Led by digital health researcher Y. Alicia Hong and co-PI Janice Zhang, the initiative will develop a community-based model that pairs older adults with youth as technology mentors to build confidence in using AI tools. The project uses AI applications including ChatGPT for script generation, Runway ML for images, Eleven Labs for audio, and Descript for editing, creating narrative-style learning experiences at senior centers while fostering stronger intergenerational bonds.

O.A. Summary

This grant represents a significant step forward in addressing the growing digital divide facing older Americans. As artificial intelligence becomes increasingly embedded in daily life—from online banking to electronic health records—many seniors are being left behind due to insufficient access to quality technology education tailored to their needs.

The research team at George Mason University and William & Mary proposes a practical solution: rather than lectures or one-way instruction, their platform will guide youth-older adult pairs through realistic digital-life scenarios. They walk through situations where AI technology appears in everyday life—from spotting AI-generated messages to understanding when and why AI tools matter—with built-in support structures that make learning feel natural and collaborative rather than intimidating.

The program targets underserved communities and emphasizes cultural sensitivity, usability testing, and accessibility so it can be sustained by community organizations even after the three-year grant period ends. What makes this approach particularly promising is its positioning of young people not as teachers but as “tech partners” — peers who learn alongside older adults while developing responsible AI awareness themselves.

Why This Matters

For older adults, AI literacy is no longer optional. It affects health outcomes, financial security, social connection, and the ability to access essential services. When seniors cannot distinguish between legitimate digital communications and AI-powered scams — or feel excluded by technology they do not understand — the consequences can be devastating. Programs like this one build both technical skills and critical confidence simultaneously.

Key Takeaways

NSF awarded $661,478 over three years for an intergenerational AI literacy program targeting older adults
The grant unites George Mason University and William & Mary researchers to co-design a web-based platform for senior center use
Youth serve as “tech partners” alongside older adults in narrative-style digital storytelling exercises using real AI tools
The program incorporates ChatGPT, Runway ML, Eleven Labs, and Descript as the actual technologies seniors will learn to navigate responsibly
Researchers emphasize cultural sensitivity, usability testing, long-term sustainability, and community organization handoff

Pros

Evidence-based approach: Built on peer-reviewed digital health research with real field testing at senior centers rather than theoretical frameworks alone
Intergenerational bonding: Addresses both AI skills AND social isolation simultaneously — two major challenges for older Americans
Real tools, real scenarios: Uses the actual AI technologies seniors will encounter (ChatGPT, video generators, voice tools) instead of abstract lessons
Sustainable model: Designed from the start to be adopted by community organizations after grant funding ends, creating lasting impact
Culturally responsive: Explicitly addresses accessibility and cultural sensitivity, not just generic digitization

Cons

Limited initial scope: The pilot focuses on a specific set of senior centers in Virginia; scalability to other regions depends entirely on subsequent fundraising
Youth availability: Program success hinges on recruiting enough young volunteers; rural or economically disadvantaged areas may struggle with this requirement
AI tool dependency: Requires participants to have internet access and basic computing devices, which some seniors still lack
Three-year timeline: Behavioral and literacy changes take time; meaningful outcomes may not be measurable until well into or after the grant period
Platform adoption uncertainty: Community organizations must choose to adopt and maintain the platform independently after funding ends — no guarantee of uptake

Research Rating: 7/8

This is a substantial, well-designed NSF grant with credible researchers, a clear methodology, and genuine potential for impact. It loses one point because it is still in the early stages — the platform has not yet been field-tested and outcomes data will not be available until the program reaches maturity.

Sources

George Mason University College of Public Health — Original announcement of the NSF grant, project description, and team details.
Granted AI — Grant database entry confirming NSF sponsorship and project scope.
NC State Extension — Related field evidence showing NC Cooperative Extension running similar AI literacy sessions with rural seniors in Bertie County, demonstrating national appetite for this approach.

Olderfriends.org

AI Literacy Program for Older Adults