Google AI policy lead Tim Hwang discusses emerging research into automated machine learning (AutoML) with podcast host Craig Cannon.
Opinion
Hwang: Open publishing should be the default standard in AI research
“I'm very pro open publishing. Like, I think, like, it should be the default, and it's like, I'm still disputing situations where I'm like, you shouldn't publish on this stuff. Just because like, I think it is actually to the benefit of everybody to know what t…”
Insight
Hwang: The assumption that all automatable tasks will be automated is false
“Everybody always assumes that like, okay, if it can be automated, it definitely will be automated, right? But that's like a fallacy, because in certain cases, like, you may really worry about the security of your systems, right?”
Assertion Supported
Hwang: GDPR introduces a potential right to explanation for automated decisions
“So, one of the most interesting aspects of the GDPR, which is a new privacy regulation in Europe, is the potential for this, what they call kind of a right to explanation. So the idea is, for certain kinds of automated decision making, it might be so significa…”
Insight
Hwang: The AI competitive moat is shifting from data to interface design
“The amount of data you need to pull off certain types of machine learning applications is going down over time. And what that tells me is that there might not be necessarily a first-mover advantage in this space, where you may actually have collected a bunch o…”
Insight
Hwang: The public sees non-ML robots as AI, ignoring newsfeeds
“The newsfeed assuredly is AI, right? Like, it uses machine learning. It uses the latest machine learning to do what it does. We don't really think about it as AI, right? Whereas, like, the car is, like I mean, I think a lot of robots kind of fall into this cat…”
Insight
Hwang: US AI regulation is domain-specific while Europe uses broad horizontal rules
“I would say in general, I think the US moves on a very case-by-case basis. So the regulatory mode is basically to say, look, in medical, that seems to be a situation where, like, there's, like, particularly high risks. And like, we want to create a bunch of re…”