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Allocative Versus Representational Harms in Machine Learning
Solon Barocas

Cornell University

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Allocative Versus Representational Harms in Machine Learning

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Biography

Solon Barocas is an assistant professor of information Science at Cornell University. Barocas focuses on the ethics of machine learning, particularly applications that affect people's life chances and their everyday experiences on online platforms. He is currently exploring issues of fairness in machine learning, methods for bringing accountability to automated decision-making, the privacy implications of inference, and the role that privacy plays in mitigating economic inequality.

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Cornell Tech

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New York, NY 10044

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Jessie G. Taft

jgt43@cornell.edu