Greg Ritter
Teaching, Learning, and Libraries Lead – AWS Higher Education
Amazon Web Services
Sarah Ben Mamaar
Associate Director for Research Services
Weill Cornell Medicine
Cory Tressler
Assistant Dean for Technology and Digital Programs
Ohio State University
Joe Naccarato
Educational Software Engineer
University of Delaware
The panel showcases three collaborations between universities and Amazon Web Services (AWS) to apply generative artificial intelligence (AI) to 1) create new pathways for scholarship around historical medical case records; 2) remediate accessibility of libraries’ digital assets quickly and inexpensively; and 3) automatically generate knowledge graphs and learning support materials from faculty lecture capture recordings. Weill Cornell Medicine Samuel J. Wood Library developed an approach for handwritten text recognition and optical character recognition through a multi-modal generative AI model to extract data from over 200 years of historical hospital case records. The project aims to map the extracted content to modern medical ontologies, unlocking new research possibilities for medical researchers and historians. The Ohio State University Libraries’ solution quickly and cost-effectively remediates PDF documents to meet federal accessibility requirements for public institutions. The solution uses Adobe Accessibility APIs and a multi-modal generative AI foundation model to generate alternative text descriptions for images, charts, and other visual elements, ensuring PDF content meets WCAG 2.1 AA standards. The University of Delaware (UD) Academic Technology Services built a generative AI teaching assistant, Study AiDE, based on lecture capture recordings from UD courses. The AI built a knowledge graph which was reviewed by faculty and then used by the Study AiDE virtual assistant to dynamically provide students with lecture support materials such as flash cards, practice quizzes, etc. based on lecture content. Each of these projects was executed in collaboration with AWS innovation programs that support universities with no-cost resources to prototype innovative projects.
