So you might have seen, I'm a fan of de-biasing as a layer in low-stakes NLP applications. If your system just helps people and computers converse a little better, it's a win when you discourage racism and misogyny in the conversation, so let's apply some de-biasing
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But if your NLP system is, say, trying to moderate social media, and silencing people when they say the wrong words without regard to context: "don't worry, we de-biased it" is not going to be the answer. It's not going to fix the flawed design
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and then there are AI applications that are not appropriate, and will not become appropriate with better design, like face recognition. That doesn't need code. It needs regulation to shut it the hell down.
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Sometimes you need code or math. Sometimes you need sociology. Sometimes you need UX. Sometimes you need law. Sometimes it's hard to figure out which you need. This conference has done a great job of putting people who do various ones of those in the same room
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Well put!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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