,
3 tweets,
1 min read
Read on Twitter
1/3 If by "statistical discrimination" we mean the use of statistical associations in the decision, then it is perfectly harmonious with the causal definition of "discrimination" and I see nothing wrong with it. What makes me suspicious are attempts to DEFINE discrimination by
2/3 statistical criteria. Note that in your example, causal considerations are unavoidable, for if the observed characteristics causally produce/prevent necessary skills, our notion of discrimination would change. This sensitivity to causal relations is absent from the fairness
3/3 literature I have sampled thus far, and which seems to dominate recent discussions in ML. Note also that we now have the tools to define and manage criterion based on combined statistical+causal relations. BTW, the link you gave us is blocked. #Bookofwhy
