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💬 Talk on "Fair Inference on Outcomes" (R. Nabi & I. Shpitser, 2017), for M. Hardt's "Fairness in Machine Learning" seminar at Berkeley, Fall 2017

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Talk: Fair New World

Materials for a reading group presentation given at a meeting of the "Fairness in Machine Learning" seminar, Fall 2017, organized by Moritz Hardt, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley


This talk is a presentation of the paper "Fair Inference on Outcomes," (R. Nabi & I. Shpitser, 2017), available here.

  • Slides (for presentation only) are available here.
  • Slides with notes are available here (printer friendly).

License

To the extent possible under law, Nima Hejazi has waived all copyright and related or neighboring rights to “Fair New World”. This work is published from the United States.
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💬 Talk on "Fair Inference on Outcomes" (R. Nabi & I. Shpitser, 2017), for M. Hardt's "Fairness in Machine Learning" seminar at Berkeley, Fall 2017

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