Ethical Machines

My new book released just two days. It’s about how insanely complex the AI risk landscape has become, why the standard approach to Responsible AI is broken, and develops a novel approach to avoiding the worst of AI. In this episode I offer you the Introduction and Chapter 1 of the audiobook. If you don’t laugh at least once, I consider the book a failure.

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ISO 42001 sounds serious. It's got a serious (and boring) name, it's backed by 60+ countries, and some companies seek ISO 42001 certification. But is the standard any good? Does it actually prevent harms? Can we have generic standards? And how can the standards be flexible enough to account for the fast paced change in the AI world? I’m a bit of a skeptic about all this, but my guest, Patrick Sullivan, VP of Strategy and Innovation at A-lign, is a true believer. And he makes a strong case. You decide if my skepticism is unwarranted.

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Technologist’s are racing to create AGI, artificial general intelligence. They also say we must align the AGI’s moral values with our own. But Professors Ariela Tubert and Justin Tiehen argue that’s impossible. Once you create an AGI, they say, you also give them the intellectual capacity needed for freedom, including the freedom to reject your given values. Originally aired in season 2.

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My guest today, Josh Gellers, Dean at the University of North Florida, argues that AI has more awards. More specifically, he thinks that AI has been used to create new biological organisms that meet the criteria for moral worth. Does that mean that AI itself has moral worth? Should we think that if something is not natural it lacks moral worth? All this and more in today’s episode

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My guests today - Professor Kate Vredenburgh and VR specialist Lauren Wong - argue that there are at least two strong reasons for calming down: first, AI isn’t good enough to replace us at our jobs. Second, even if they were, it’s up to us to develop AI in a way that supports rather than replaces us. We also talk about whether AI adoption is suffering for the same reasons the metaverse was never successful: we’re failing to appreciate how to get people to justifiably buy in to the technology.

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