UMBC PhD student Yash Saxena interviewed by AIhub

AIhub published an interview with UMBC PhD student Yash Saxena about his research focused on how AI systems use external knowledge. He discusses his IKnowFlow system, which traces how evidence moves from its original source documents to the final AI-generated claims. His work aims to preserve the context and accuracy of AI outputs, which is especially critical in high-stakes fields like healthcare, science, and law. Professor Manas Gaur advises Yash in the Knowledge Infused AI and Inference Lab.