Ryan Calo is the Lane Powell and D. Wayne Gittinger Professor at the University of Washington School of Law. He is a founding co-director of the interdisciplinary UW Tech Policy Lab and the UW Center for an Informed Public. Professor Calo holds adjunct appointments at the University of Washington Information School and the Paul G. Allen School of Computer Science and Engineering. The following is a lightly edited transcript of a discussion that took place shortly after the publication of the European Commission's proposed new regulation of artificial intelligence (AI). The European Commission has today released a proposed regulation around AI. This is obviously something that you have been prepared for and waiting to see happen. What did the EU put out? Years ago I wrote a primer and roadmap for AI policy and also hosted the inaugural Obama White House workshop on artificial intelligence policy. Many of the themes of that essay and of the workshop were reflected in the EU proposal, which is to say that they're not limiting themselves to decision-making by AI. Their approach is to look at the impacts of AI holistically, and to tackle everything from liability should there be harm, to additional obligations for high-risk uses, to facial recognition and biometrics.

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Ryan Calo about robot regulation. What is robot regulation and why does it matter? To answer this question we welcome to the show Ryan Calo. Ryan is a professor at the University of Washington School of Law.

Over the course of an accumulated 10 hours spread out over two days of hearings, Mark Zuckerberg dodged question after question by citing the power of artificial intelligence. It's not even entirely clear what Zuckerberg means by "AI" here. He repeatedly brought up how Facebook's detection systems automatically take down 99 percent of "terrorist content" before any kind of flagging. In 2017, Facebook announced that it was "experimenting" with AI to detect language that "might be advocating for terrorism" -- presumably a deep learning technique. It's not clear that deep learning is actually part of Facebook's automated system.

Janzamin, H. Sedghi and A. Anandkumar, Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods, 2015 The AI Winter refers to the period in the mid-1980s in which interest in AI began to drop as the field failed to yield significant practical gains. Skynet is the name of the fictional, murderous artificial intelligence in the Terminator movie series. See also Harry Surden, Technological Opacity, Predictability, and Self-Driving Cars, 38 Cardozo L. Rev. 121, 162–63 (2016). See also In the Matter of the American Medical Association, et al., 94 F.T.C. 701 (1979) (doctors); In the Matter of Connecticut Chiropractic Ass'n, 114 F.T.C. 708 (1991) (chiropractors); In the Matter of Nat'l Soc'y of Prof'l Eng'rs, 116 F.T.C. 787 (1993) (engineers).

Takeover is a pretty key part of how autopilots work in cars right now. Last May, a Tesla Model S driver died when both he and his car failed to spot a tractor-trailer crossing the highway. A National Highway Traffic Safety Administration investigation into the crash did not find sufficient grounds for a product recall. It did note, however, that despite the clear limitations of the autopilot feature, "other jurisdictions have raised concerns about Tesla's use of the name "Autopilot." Autopilots have been legally tricky from the start.