Why AI Models Need to Know What They Don't Know: The Critical Role of Uncertainty Quantification
When I tell people I work on AI for cancer treatment, they often ask: "How accurate are your predictions?" The real question they should be asking is: "How certain is your AI about those predictions?" This distinction lies at the heart of uncertainty quantification (UQ) – a critical but often overlooked aspect of AI research that I believe will define the next generation of trustworthy artificial intelligence systems, especially in healthcare. ...