Presentation: How do we Audit Algorithms?
Location:
- Whittle, 3rd flr.
Duration
Day of week:
- Wednesday
Key Takeaways
- Examine critically how much faith and trust we put in models.
- Understand the models ML practioners generate should be audited for fairness.
- Comprehend the degree to which models can affect real people if not properly audited.
Abstract
Algorithms are increasingly being used to automate what used to be human processes. They are potentially more fair and objective, but they are not automatically so. In fact they can easily codify unfair historical practices. I will discuss some examples of this problem and then I'll pose the question, how would we transparently and comprehensibly audit such algorithms for fairness?
Interview
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