IS3255H — Hnrs:Machine Lrning in Society
Challenges to the view that algorithms are fair and unbiased. Discussion of key machine learning mechanisms and the role of training data in determining algorithms' outcomes. Exposure of how data rooted in current social processes may introduce biases into machine learning, which perpetuates these biases in society. prereq: participation in Honors Program