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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Are we dependent on social media in a way that erodes our autonomy? After all, platforms are designed to keep us hooked and to come back for more. And we don’t really know the law of the digital lands, since how the algorithms influence how we relate to each other online in unknown ways. Then again, don’t we bear a certain degree of personal responsibility for how we conduct ourselves, online or otherwise? What the right balance is and how we can encourage or require greater autonomy is our topic of discussion today. Originally aired in season two.

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Much of what we find fulfilling in life isn’t the having but the doing. It’s the process of working through a problem, taking action, doing what needs to be done. But that meaning may be on the verge of being greatly diminished; so contends my guest, Sven Nyholm, Professor of Ethics of AI at lMU MUNICH. I push back in various ways: how real and/or imminent is this threat, really? And who is responsible for staving it off?

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Anthropic just got the axe from the U.S. government for refusing to allow the Department of Defense (War?) to use Claude for autonomous weapons systems and mass surveillance. For the first 15 minutes of this conversation with Michael Horowitz - professor at UPenn, Senior Fellow for Technology and Innovation at the Council on Foreign Relations, and formerly Deputy Assistant Secretary of Defense for Force Development and Emerging Capabilities and Director of the Emerging Capabilities Policy Office at the DoD - we talk explicitly about Anthropic vs. the U.S. government. Why Anthropic did it, why this is more about personality than policy, and more. In the remaining 45 minutes you’ll hear a replay of an episode Michael and I did back in October, in which Michael defends the functional and ethical importance of potentially using AI for autonomous weapons systems.

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What does it look like for a non-technologist to lead Responsible AI practices at a Fortune 500 company? Today I talk with James Desir, Senior corporate counsel at Progressive Insurance and a key leader in their RAI efforts. We discuss how he found his way into this space, how he persuades data scientists to treat him as a thought partner instead of a blocker, and how to demonstrate the ROI of RAI to fellow executives. We also talk about the increasing complexity of AI and how a small RAI team can handle the scale of the problem.

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I tend to dismiss claims about existential risks from AI, but my guest thinks I - or rather we - need to take it very seriously. His name is Olle Häggström and he’s a professor of mathematical statistics at Chalmers University of Technology in, Sweden, and a member of the Royal Swedish Academy of Sciences. He argues that if AI becomes more intelligent than us, and it will, then it will dominate us in much the way we dominate other species. But it’s not too late! We can and we must, he argues, change the trajectory of how we develop AI.

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