CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data InfrastructureIn 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 increased…
From CI Center for Information Technology Policy
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CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of DataProblems 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, these…
From CI Center for Information Technology Policy
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Princeton's Legacy in Computer and Data Science: Corporate Engagement with Tech Companies Reflects the University's StrengthDean 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 the…
From Tracy Meyer
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