U-M Generative AI Use Cases
U-M Maizey
The Human Subject Incentives Program (HSIP), a sub-unit of the Treasurer’s Office, is responsible for facilitating incentive payments for study participation when it involves U-M…
Read more about Human Subject Incentives Program, Treasurer’s Office AI Chatbot
The University Career Center (UCC) serves as a resource for career guidance and professional development for U-M students and alumni. However, with a student body of over 40,000 and an…
Read more about University Career Center Resource Assistant: Enhancing Accessibility and Engagement through AI
New employees often have a wide range of questions during their onboarding process, from benefits and policies to campus resources and department-specific information. The challenge was providing timely, consistent, and easily…
Read more about OnboardingA2 Maizey: AI-Powered Support for New U-M Employees
ACM (Association for Computing Machinery) students preparing for ICPC (International Collegiate Programming Contest) programming competitions and technical interviews often face challenges in finding relevant resources, receiving…
Read more about CodeCoach Platform for Competitive Programming
Instead of searching through U-M’s standard practice guides (SPGs) on the U-M HR website, ITS trained a Maizey to identify existing policies through plain text question…
Read more about SPG Policy Review Maizey
The PMO needed to address several challenges, including the desire for a safer, more secure AI-driven solution for sensitive projects and the need for tools to aid in professional development. Team members, like Mallory Kwiatkowski,…
Read more about Project Management
ITS Administration sought to efficiently rank and compare hundreds of resumes to streamline the hiring process and identify the most suitable candidates quickly.
Read more about Improving Resume Evaluation and Hiring Efficiency with Maizey
Professor Andrew DeOrio sought to supplement existing course resources like office hours and discussion forums for his large EECS 485 Web Systems course, by providing quick feedback and…
Read more about Accelerating Project Development in EECS 485 with Maizey
Faculty member Michael Hess aimed to address the issue of repetitive questions during office hours before exams in his SI564 course on SQL and Databases. The goal was to reduce the workload on both students and faculty by providing a…
Read more about Utilizing Maizey to Enhance Exam Preparation in SQL and Databases Course
Transcribing museum specimen labels is a critical yet time-consuming task at the U-M Herbarium. The research group faced challenges in efficiently managing and processing the vast amount of data from…
Read more about Automating Transcription of Museum Specimen Labels with U-M Maizey
The Wolverine Learning Assistant addresses the challenge of making complex academic content more accessible and engaging for students at all levels of their educational journey across the University of Michigan's campuses. The goal is…
Read more about Wolverine Learning Assistant: Enhancing Academic Engagement and Understanding
The LSA Newnan Academic Advising Center sought to improve accessibility and efficiency in student advising services, particularly in light of challenges such as the COVID-19 pandemic and the non-mandatory nature of advising. They aimed…
Read more about Enhancing Academic Advising with Maizey: A Custom AI Tool