One of the most common arguments you hear from company executives racing to develop super-intelligent AI is that it will cure cancer. It’s an incredibly powerful and seductive promise.  If superintelligent AI really can cure cancer, then anyone who stands in the way of it, anyone who wants to slow it down — even because of its serious risks — is essentially letting people die. In fact, the biggest risk would be going too slowly. But what if a superintelligent AI isn’t actually capable of solving cancer in the way it's been described? What if we're being sold a false promise to justify a dangerous race? That’s exactly what our guest this week argues is happening. Dr. Emilia Javorsky is a physician, public health researcher, and director of the Futures Program at the Future of Life Institute. She's worked across scientific research, clinical trials, tech startups, and AI policy.   Emilia recently wrote a paper titled “How AI Can and Can't Cure Cancer [https://curecancer.ai/AI_vs_Cancer_summary.pdf],” in which she argues that the promise of superintelligence curing cancer falls apart under scrutiny.  Emilia lost a parent to cancer, so her criticism of this promise comes from a place of real concern, not cynicism. It also comes from her belief that AI can be really revolutionary for medicine, if we build it the right way. Your Undivided Attention is produced by the Center for Humane Technology [https://www.humanetech.com/]. Follow us on X: @HumaneTech_ [https://twitter.com/humanetech_] and subscribe to our Substack [https://centerforhumanetechnology.substack.com/]. RECOMMENDED MEDIA How AI Can and Can’t Cure Cancer by Emilia Javorsky [https://curecancer.ai/AI_vs_Cancer_summary.pdf] The Emperor of All Maladies by Siddhartha Mukherjee [https://portersquarebooks.com/book/9781668047033] RECOMMENDED YUA EPISODES Decoding Our DNA: How AI Supercharges Medical Breakthroughs and Biological Threats with Kevin Esvelt [https://www.humanetech.com/podcast/decoding-our-dna-how-ai-supercharges-medical-breakthroughs-and-bioweapons-with-kevin-esvelt] Forever Chemicals, Forever Consequences: What PFAS Teaches Us About AI [https://www.humanetech.com/podcast/forever-chemicals-forever-consequences-what-pfas-teaches-us-about-ai] Big Food, Big Tech and Big AI with Michael Moss [https://www.humanetech.com/podcast/big-food-big-tech-and-big-ai-with-michael-moss] CLARIFICATIONS: * Emilia’s claim that “the doubling rate of medical knowledge has gone from 50 years in the 1950s down to 73 days” comes from an oft-cited 2011 paper from the NIH. However, this paper does not include any methodology for arriving at this claim. * Emilia stated that we have yet to cure any complex, chronic disease in humans. However, we have been able to cure Hepatitis C, which is considered a complex infectious disease, and we have managed to effectively cure some types of Leukemia Correction: Tristan incorrectly paraphrased a quote from Charlie Munger about incentives. The actual quote is “The basic rule of incentives is you get what you were owed for. So if you have a dumb incentive system, you get dumb outcomes."     Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.