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June 2024 Director’s Update

Dear Center for Academic Innovation Community, 

The full potential impact of artificial intelligence on our work life is still coming into focus. While the artificial intelligence landscape is always shifting, and tools are updated and released regularly, the Center for Academic Innovation has been working with leading faculty to make sure people have the foundational knowledge, literacies, and skills needed to leverage the power of AI in the workplace. 

The center recently launched a number of timely courses focused on artificial intelligence and its potential impact on various professions. We also launched our Artificial Intelligence Collection on Michigan Online. This hub will be continually updated with curated resources, including videos, articles, and access to courses on foundational AI knowledge, how organizational leaders can leverage AI, and offerings on applied AI for particular industries and career pathways. 

We have also launched the short course Llama for Python Programmers, which teaches programmers how to leverage Meta’s large language model Llama to build generative AI tools. Leveraging Generative AI for Social Impact Organizations is an exciting opportunity for nonprofit leaders working with few resources to learn how AI can help them maximize efficiency and broaden impact. We also have a new short course series devoted to the responsible use of AI designed to help leaders and practitioners navigate AI tool policies and ethical use.

These are specially designed short courses that can be completed in a matter of a few hours and deliver foundational and specialized skills in AI. Many more short courses will be debuting throughout the summer and fall. If you would like to stay up to date on all the latest launches, I encourage you to sign up for email updates from Michigan Online

Increasingly, AI skills are becoming key component of larger courses as well. The center worked with a team at Michigan Medicine to develop “Data Augmented Technology Assisted Medical Decision Making,” also called DATA-MD, which helps clinicians better understand how they can increase diagnostic accuracy and improve patient outcomes by using artificial intelligence tools. 

Another recent course series is “Understanding Data: Navigating Statistics, Science, and AI,” which helps people understand AI technologies, how to interpret AI output, and how to use the data effectively. 

The center is also writing about using AI in education at Online Teaching, a vital faculty resource that helps instructors at U-M and beyond explore course design, compliance, technology, and innovative pedagogies. 

We are excited to continue developing training resources, co-creating courses with faculty, and helping the University of Michigan lead the way in using artificial intelligence to enhance teaching and learning at all levels and modes of education.   

Go blue!

James DeVaney
Associate Vice Provost for Academic Innovation
Founding Executive Director of the Center for Academic Innovation