Five Morgan State Faculty Win Awards for Trustworthy AI Education Projects
Five faculty members at Morgan State University received TRAILS Broader Impact Awards to lead summer projects on trustworthy artificial intelligence in education. The awards, announced March 11, provide up to $25,000 per project to expand how educators and communities engage with AI.
Three faculty from the Department of Advanced Studies, Leadership, and Policy received awards: Dr. Krishna Bista, Dr. Virginia Byrne, and Dr. Elizabeth Morgan. Two additional faculty from the School of Education and Urban Studies also won funding: Dr. Martha James and Dr. Valerie Riggs.
Three Projects Underway
Dr. Bista will run "AI Learning Labs: Cross-Sector Seminars & Participatory Design Tools for Community Colleges." The three-week online seminar will bring together community college and higher education leaders to discuss responsible AI adoption. Participants will help build a repository of tools for ethical AI implementation across campuses.
Dr. Byrne, working with University of Maryland faculty member Sarah McGrew, leads "AI Literacy Codesign Workshops with Social Studies Teachers." The project brings middle and high school teachers together to develop lessons that teach students to critically evaluate AI-generated text and media. Materials will align with existing curriculum standards and be ready for classroom use.
Dr. Morgan's project, "AI for IA: Artificial Intelligence for Inclusion and Access," works with families of children in special education in California and Maryland. The initiative teaches families how AI tools can support advocacy around IEPs and 504 plans, and will produce a public toolkit for family advocacy.
What the Awards Support
TRAILS, based at the University of Maryland, designs the Broader Impact Awards to help diverse communities shape the future of AI through grassroots work that connects academia, industry, and local communities.
For educators looking to build AI literacy skills, resources like the AI Learning Path for Teachers and AI for Education offer structured approaches to understanding AI in classroom settings.
Learn more about the awards at TRAILS' announcement.
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