CS 5/692, Winter 2020

February 3 / Week 5

Algorithmic Bias 1: Intro & Facial Recognition

Readings

Required

• WMD Chapters 5, 6, 8
• Suresh, H., & Guttag, J. V. (2019). A Framework for Understanding Unintended Consequences of Machine Learning. arXiv Preprint 1901.1002

• Powles J., & Nissenbaum H. (2018). The Seductive Diversion of “Solving” Bias in Artificial Intelligence Medium Post, 12/7/2018

• Deep Dive 1: Face Recognition & Analysis
  • Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In S. A. Friedler & C. Wilson (Eds.), (Vol. 81, pp. 77–91). Presented at the Proceedings of the 1st Conference on Fairness, Accountability and Transparency, New York, NY, USA: PMLR.
    • Project website
  • Cagle M., & Ozer N. Amazon Teams up With law Enforcement to Deploy Dangerous new Face Recognition Technology. Here’s how it’s Used in Washington County.
  • Fussell, S. How an Attempt at Correcting Bias in Tech Goes Wrong. The Atlantic, 10/9/19
  • Samudzi, Z. (2019). Bots Are Terrible at Recognizing Black Faces. Let’s Keep it That Way. The Daily Beast, 2/11/19

Optional (but strongly recommended)

• Flatow, I. et al. Why AI Is A Growing Part Of The Criminal Justice System. Science Friday, 9/13/19
  • This is an excellent episode and is strongly recommended.