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

Lab: ProPublica’s Machine Bias


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