Fairness

Lecture: Introduction: What is Responsible Data Science?

Topics:

  • Course outline
  • Aspects of responsibility in data science through recent examples
  • The importance of a socio-technical perspective: stakeholders and trade-offs

Reading: See Introduction and Algorithmic Fairness (Part 1)

Lab: ProPublica’s Machine Bias


Next submodule: