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don't get dragged into that false dichotomy. treating fairness as a merely technical problem is a cop out. in addition to looking at dataset and algo, look at
by osazuwa 6y ago
don't get dragged into that false dichotomy. treating fairness as a merely technical problem is a cop out. in addition to looking at dataset and algo, look at the processes that generate data, how the data is collected/selected for the data set, and how the algo is deployed and to what end.
- bumby 6y agoCan you elaborate on what you mean? I was interpreting “fairness” as “unbiased”, meaning if the process used to generate the data is biased, they are inherently unfair