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.
Researcher Zak Stein discusses how anthropomorphic AI can exploit human attachment systems, its psychological risks for children and adults, and ways to redesign education and cognitive security tools to protect relationships and human agency.
Andrea Miotti, founder of Control AI, discusses the extreme risks from superintelligent AI and his case for a global ban on systems that could outsmart humans, touching on industry lobbying, regulation strategies, public awareness, and citizen actions.
Ryan Kidd of the MATS program joins The Cognitive Revolution to discuss AGI timelines, model deception risks, dual-use alignment, and frontier lab governance, and outlines MATS research tracks, talent needs, and advice for aspiring AI safety researchers.
