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Strongly (but respectfully) disagree with a lot of this! This is related to current fairness-in-AI discussions. In many cases the basic problem is ML systems l
by bo1024 7y ago
Strongly (but respectfully) disagree with a lot of this!
This is related to current fairness-in-AI discussions. In many cases the basic problem is ML systems leverage correlations for making causal decisions. Here, there is a huge ethical difference between scoring a person based on "is this a good essay" and "do the features of this essay correlate with features of good essays". Just like there is a huge fairness and discrimination difference between "is this person qualified for a loan" and "do the features of this person correlate with features of people who qualify for loans" (algorithmic redlining). Your last sentence has a big discrimination/fairness issue also, since you are testing even more for parental income and parental free time.
- nerdponx 7y agoWhich means that machine learning models need to not only be good predictors, but also be causal models to some extent.