A: It’s a technical feature of these deep-learning, machine-learning systems, that they are opaque. They are black box in nature. But most of the risks we deal with as human beings come from things that are not explainable. As an example, I take a medicine every single day. While I can’t actually predict exactly how it’s going to interact with the cells in my body, we have found ways to make pharmaceuticals safe enough. Think about drugs before we had clinical trials.
Q: Seven companies agreed in July to meet voluntary AI safety standards set by the White House. Were any of those commitments harder to get? Where’s the friction? A: I want to start by just acknowledging how fortunate we are that so many of the companies that are driving AI technology today are American companies. It reflects a long history of valuing innovation in this country. That’s a tremendous advantage. We also just have to be very, very clear that with every good intention in the world, the realities of operating in the market are, by definition, a constraint on how far these individual companies can go.
Q: Do you have a timeline for future actions ? Will it include enforceable accountability measures for AI developers? A: Many measures are under consideration. I don’t have a timeline for you. I will just say fast. And that comes directly from the top. The president has been clear that this is an urgent issue.
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