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March 2023
Data Science course on privacy and fairness
“Many decisions now are done by automated systems and the question is, how fair is this?” Thomas Strohmer asks. Strohmer has been teaching a MAT 280 topics course entitled “Fairness, Privacy, and Trustworthiness in Machine Learning.” The course, aimed at graduate students in mathematics, statistics, and computer science, aims to instill an understanding of the responsibilities involved in the collection and use of big data in the next generation of technologists. Students in the course express their appreciation for the knowledge gained and Strohmer plans to teach the course again in two years.