Michigan State University is encouraging undergraduates to consider enrolling in a new course to help students understand, evaluate and responsibly use AI.
“AI presents opportunities and challenges across every discipline and in nearly every workplace, and we want to equip our Spartans with dynamic skills for a future-facing economy,” said President Kevin M. Guskiewicz, Ph.D. “Michigan State University’s Green and White Council identified AI readiness as one of its key initiatives, paving the way to make resources available to support faculty in their work to incorporate AI across multiple disciplines, including through the development of a foundational course that helps our students learn how to use AI effectively, efficiently and ethically.”
Thirteen Michigan State University College of Engineering faculty members were among those honored Sept. 29 during MSU’s 2026 Faculty Investiture and State of the University at the Wharton Center for Performing Arts.
Michigan State University’s College of Engineering welcomed new faculty members across its academic departments, programs and administrative units throughout 2026.
James R. Von Ehr II and his wife, Gayla, have helped Spartan Engineers turn promise into possibility for 20 years. A 1972 graduate of the Michigan State University College of Engineering Department of Computer Science and Engineering and a successful technology entrepreneur, the Von Ehrs established a $1 million endowed scholarship fund in 2006 to support “outstanding undergraduate students who come from humble backgrounds, as I did," he said.
When a phone is lost or stolen, reporting it to a cellular carrier is supposed to prevent unauthorized use. Michigan State University researchers have found that weaknesses in the reporting system itself could potentially be exploited to block legitimate devices from cellular networks.
More than 200 researchers, industry leaders, entrepreneurs, investors, policymakers and government partners gathered in East Lansing on Aug. 11 for the 2026 Mobility Summit, themed “Michigan Moves: Building the Next Mobility Economy.”
As AI models evolve, we’ve seen how they harness the power of immense volumes of data. However, sometimes they tap into data they shouldn’t. When this happens, the system owner may be ordered by a regulatory agency or court to remove the data. Traditionally, when AI models needed to stop using data, the only reliable option was to rebuild the entire model from scratch. A new learning paradigm contributed by MSU researcher Sijia Liu allows AI models to selectively forget, or “unlearn,” specific data sets without the need to scrap the whole model.