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TOC for Fairness
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Simons Collaboration on the Theory of Algorithmic Fairness, supported by The Simons Foundation. Our agenda: Machine learning and data analysis have enjoyed tremendous success in a broad range of domai
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TOC for Fairness – a simons collaboration project Skip to content TOC for Fairness a simons collaboration project Menu Home Blog Events People Principal Investigators Advisory Committee Students and Postdocs Publications Videos Related Courses Job Opportunities Contact TOC FOR FAIRNESS Simons Collaboration on the Theory of Algorithmic Fairness, supported by The Simons Foundation . Our agenda : Machine learning and data analysis have enjoyed tremendous success in a broad range of domains. These advances hold the promise of great benefits to individuals, organizations and society. Undeniably, algorithms are informing decisions that reach ever more deeply into our lives, from news article recommendations to criminal sentencing decisions to healthcare diagnostics. This progress, however, raises (and is impeded by) a host of concerns regarding the societal impact of computation. A prominent concern is that these algorithms should be fair. Unfortunat...
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