Quoted: “Right now, in machine learning, you take a lot of data, you see if it works, if it doesn’t work you tweak some parameters, you try again, and eventually, the network works great,” said Loris D’Antoni, an assistant professor at the University of Wisconsin, Madison, who is co-developing a tool for measuring and fixing bias called FairSquare. “Now even if there was a magic way to find that these programs were biased, how do you even fix it?”
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