Five working groups will be formed to continue exploration after UM's January 16 AI Symposium. The working groups will identify and integrate AI-driven opportunities into UM's annual strategy playbook aligned with five innovation pillars (see below).
AI Innovation Framework
The onset of the AI revolution presents an unparalleled opportunity for academic institutions to lead the charge in technological adaptation. The overarching goal of UM's AI Innovation Framework is to establish a cohesive, University-wide AI initiative that:
- Coordinates efforts across departments and disciplines.
- Identifies and implements effective AI solutions to enhance university operations.
- Adapts the UM curriculum to prepare students for an AI-integrated world.
- Fosters an environment where AI is a catalyst for innovation in research
Five Pillars of AI Innovation
The five pillars serve as foundational themes for the working groups, guiding the exploration and identification of opportunities to innovate and enhance UM’s educational and operational landscape.
1. Curricular Integration
- How can UM infuse AI literacy across disciplines, ensuring all students graduate with a strong understanding of AI fundamentals?
- How does UM develop specialized AI modules and electives for in-depth knowledge?
- How can UM encourage interdisciplinary projects with an AI focus to foster practical learning?
2. Personalized Student Support
- Implement conversational AI platforms to deliver 24/7 student services, from admissions to academic advising.
- Utilize AI to customize learning paths and support materials for students, enhancing the learning experience.
3. Operational Efficiency
- Adopt AI tools for administrative tasks to improve staff productivity and satisfaction.
- Streamline business processes through AI-driven analytics and automation.
4. Enrollment and Marketing
- Leverage AI for data-driven marketing strategies to attract prospective students.
- Utilize AI to improve staff productivity in marketing and admissions activitie.
- Use predictive analytics to improve retention rates and student success.
5. Research and Innovation
- Promote the use of AI in research to uncover new insights and foster innovation.
- Establish collaborations with AI leaders in industry and academia.