Podcast: Common ground at work: From disaster to success

A few years ago, I would have agreed with the argument that the most important AI regulatory issue is mitigating the low probability of catastrophic risks. Today, I’d think nearly the opposite. My primary concern is that we will fail to realize the already feasible and significant benefits of AI. What changed and why do I think my own evolution matters?

Discussion of my personal path from a more “safety” oriented perspective to one that some would label as an “accelerationist” view isn’t important because I, Kevin Frazier, have altered my views. The point of walking through my pivot is instead valuable because it may help those unsure of how to think about these critical issues navigate a complex and, increasingly, heated debate. By sharing my own change in thought, I hope others will feel welcomed to do two things: first, reject unproductive, static labels that are misaligned with a dynamic technology; and, second, adjust their own views in light of the wide variety of shifting variables at play when it comes to AI regulation. More generally, I believe that calling myself out for a so-called “flip-flop” may give others more leeway to do so without feeling like they’ve committed some wrong.