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Making Machines More Human: Best-Selling Author Brian Christian on the Alignment Problem - Ep. 135

NVIDIA AI Podcast

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The Tension Between Academic Research and Corporate Interests and for-Profit Uses of AI

How do we kind of toe that line between, you know, the forward march of progress, but also making sure that the data sets themselves are the right ones to be using? That's a critical question. And from my perspective, the answer is a little bit of everything. So I think just the kind of audits that we saw in this case with label faces in the wild where a research group will say, well, let's rummage around and see what's in there. Or the idea, I mean, a number of scholars have been suggesting that data sets should come with an equivalent of a nutrition facts label.

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