In response to growing concerns of bias, discrimination, and
unfairness perpetuated by algorithmic systems, the datasets used to
train and evaluate machine learning models have come under…
Problems of algorithmic bias are often framed in terms of lack of
representative data or formal fairness optimization constraints to be
applied to automated decision-making systems. However,…
Dean for Research Pablo
Debenedetti highlights technology-related corporate engagement across
Princeton's campus and traces the University's legacy in computer and data
science back to…