Ricardo Baeza-Yates

Models may appear to improve while actually worsening their ability to screen out defaulters, revealing a critical flaw in standard evaluation practices.

Medical AI can be made dramatically safer—reducing critical errors by up to 92%—simply by weighting the loss function with a clinically-informed confusion matrix.