Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

PIM 884 Artificial Intelligence Governance

Semester:
Fall of every year
Credits:
Variable from 1 to 3
Restrictions:
Open to graduate students in the Eli Broad College of Business and The Eli Broad Graduate School of Management or in the Business Data Science and Analytics Major or approval of college.
Description:
Explores how organizations can adopt artificial intelligence responsibly, balancing innovation with ethical, legal, and societal considerations. Students examine issues such as data privacy, algorithmic bias, transparency, accountability, and regulatory frameworks, with a focus on business applications. Through case studies and applied exercises, students learn how to design and evaluate governance practices that ensure AI creates value while aligning with organizational goals and stakeholder trust.
Effective Dates:
FS26 - Open