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I think it’s important to bear in mind that most machine learning models still aren’t very good, and the main problem you’ll encounter with them isn’t bias, it’
by jf- 8y ago
I think it’s important to bear in mind that most machine learning models still aren’t very good, and the main problem you’ll encounter with them isn’t bias, it’s whether or not they’re producing gibberish. In this thread we seem to have assumed that ML is generally trustworthy, and I doubt very much that it is.
What we may be debating is whether gibberish is more or less morally good depending on whether it includes race and gender.
- nkozyra 8y ago-against our own biases- we are evaluating and validating models all the time. There are many, many models with acceptable accuracy that we rely on every day. I think this is a myopic view of the current state of ML.