Teaching Students about Algorithmic Bias and Fairness
Join author Michael Quinn as he introduces the important topic of algorithmic bias and explains how to help students understand why creating systems that make fair decisions is easier said than done.
Michael Quinn PhD, Dean Emeritus, Author of Ethics for the Information Age, Seattle University
Join author Michael Quinn as he introduces the important topic of algorithmic bias and explains how you can help students understand why creating systems that make fair decisions is easier said than done.
Recorded:
About the speaker
Michael Quinn, PhD, Dean Emeritus, Author of Ethics for the Information Age,Seattle University
Michael J. Quinn is a computer scientist and author. In 2004 he published the textbook Ethics for the Information Age that explores moral problems related to modern uses of information technology, such as privacy, intellectual property rights, computer security, computerized system failures, the relationship between automation and unemployment, and the impact of social media on democracy.
Dr. Quinn was a software engineer at Tektronix from 1979 to 1981. From 1983 to 2007 he was a computer science professor, first at the University of New Hampshire, and then at Oregon State University. From 2007 to 2022 he was dean of the College of Science and Engineering at Seattle University.
Dr. Quinn earned a B.S. in mathematics from Gonzaga University, an M.S. in computer sciences from the University of Wisconsin-Madison, and a Ph.D. in computer science from Washington State University.