Within the third and closing set up of our podcast miniseries on synthetic intelligence, produced in affiliation with Darktrace, we delve into the realm of AI combating AI—or what researchers refer to as “adversarial AI.”

Adversarial synthetic intelligence can take many kinds—as a instrument for hacking via AI-powered safety of different techniques, for instance, or deceiving one other algorithm with enter that causes a selected, pretend outcome. Ars editors Sean Gallagher and Lee Hutchinson spoke with the chief of the profitable workforce from the 2016 Protection Superior Analysis Tasks Company’s Cyber Grand Problem, ForAllSecure CEO David Brumley, about developments in AI-driven hacking. Lujo Bauer, a professor {of electrical} and laptop engineering on the Institute for Software program Analysis at Carnegie Mellon, joined Lee and Sean to speak about his analysis into methods to use AI to defeat applied sciences equivalent to facial recognition. And Max Heinemeyer, director of risk looking at Darktrace, mentioned analysis already being executed into how to cease AI-driven assaults on laptop networks.

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