Science, Cornell University Solon BarocasI’m a Principal Researcher in the New York City lab of Microsoft Research , where I’m a member of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group, and an Adjunct Assistant Professor in the Department of Information Science at Cornell University, where I co-lead the initiative on Artificial Intelligence, Policy, and Practice (AIPP) . I’m also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University and Non-Resident Fellow at the Center for Democracy & Technology . My research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference. I’m co-author of the textbook Fairness and Machine Learning: Limitations and Opportunities and co-founder of the ACM conference on Fairness, Accountability, and Transparency (FAccT) . Contact Microsoft Research 300 Lafayette Street New York, NY 10012 solon@microsoft.com Cornell University 107 Hoy Road Ithaca, NY 14853 sbarocas@cornell.edu Publications Google Scholar SSRN arXiv Upcoming Events April 5: National Symposium on Equitable AI , Baltimore, MD April 11-12: Legal Scholars Roundtable on Artificial Intelligence , Atlanta, GA April 17: Law & Technology Workshop , Virtual April 25-26: Operationalizing NIST AI RMF: A Diversity of Human Factors , Boston, MA April 26: Transatlantic AI and Law Institute , New York, NY May 30-31: Privacy Law Scholars Conference , Washington, DC June 2-7: Bridging Prediction and Intervention Problems in Social Systems , Banff, Canada This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License . Created using PressWork...
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