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That's not what the article is talking about. They are saying that data biases are a problem but not the only one: other things can amplify biases such as the
by elcomet 5y ago
That's not what the article is talking about.
They are saying that data biases are a problem but not the only one: other things can amplify biases such as the model's architecture. So when working to remove biases, fixing the data might not be enough.
- athrowaway3z 5y agoWhat salawat is probably saying is: There would be less issue with bias (for society), if the expectation/sales pitch was different. As an analogy: Somebody sells the idea of "The Unbreakable Rope" and it breaks after you hang 10kg on it. A blog post "Moving beyond material" goes in depth on how to process material. This is a good thing for people producing rope. However, for a layman who still sees people assuming "The Unbreakable Rope" is attainable, the content is going to be a little underwhelming.