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Lecture 12 Recap - Ethics in ML

Date: March 9, 2020

Link to Slides

Lecture 12 Summary

  • Intro: Diana Acosta-Navas
  • Discrimination and Wrongful Discrimination
  • Case Study: PredPol
  • Disparate Treatment vs. Disparate Impact
  • How Predictive Policing Could Wrongfully Discriminate
  • What contextual considerations are important to determine whether an algorithm wrongfully discriminates?

Intro: Diana Acosta-Navas

Diana Acosta-Navas was here to speak! Diana is a PhD candidate at the Harvard Philosophy Department and is also an Adjunct Lecturer in Ethics and Public Policy at the Harvard Kennnedy School. Because the vast majority of the discussion in class centered around the content in the slides, I decided it'd be more effective for students to reread Diana's slides rather than a recap. Slides linked above!