AI vs Cancer - How AI Can, and Can't, Cure Cancer (by Emilia Javorsky)
Emilia Javorsky explores how AI can realistically aid cancer research, where current hype exceeds evidence, and what changes researchers, policymakers, and funders must make to turn AI advances into real clinical impact.
Tech executives have promised that AI will cure cancer. The reality is more complicated — and more hopeful. This essay examines where AI genuinely accelerates cancer research, where the promises fall short, and what researchers, policymakers, and funders need to do next.
Claire Boine discusses how AI companion apps can foster attachment and dependency through design and freemium models. The episode examines privacy, risks for children and teens, legal gaps in the EU and US, and policy approaches to social harms.
Michael Toscano discusses family-centered AI policy, including AI companions, sexualized chatbots, self-harm risks, schools, and smartphone use. He argues that governance should hold technology accountable to families and children’s development.
Anthony Aguirre of the Future of Life Institute discusses A Better Path for AI, arguing against races to replace people and for purpose-built AI tools with human control, guardrails, accountability, and international cooperation.
