What if generative AI could recognize its own uncertainty and explain its reasoning? Ricky Sethi, adjunct teaching professor in graduate and professional studies, writes in The Conversation about the potential for a mathematical framework to give GenAI systems a way to understand their limitations, assess their confidence, and know when to slow down and be cautious. The article was republished by outlets including the Seattle Post-Intelligencer and Yahoo! News in the U.S., U.K., Canada, and Malaysia