Beyond the Hype: Building Trustworthy AI for Healthcare

Learn why language structure matters as much as data in healthcare AI, from experts building systems where mistakes have real consequences.

Two respected researchers will examine why AI systems built for healthcare demand more than just statistical sophistication. Dr Jon Patrick, a computational linguist with decades of experience in clinical NLP, argues that the field's rush toward large language models has overlooked what deeper language understanding contributes to safety, especially when mistakes can affect patient care. The second speaker explores speech-first interfaces as a pathway to more accessible healthcare AI. You'll leave understanding the gap between what current AI can do and what healthcare contexts actually require, plus concrete examples of where purely data-driven approaches fall short. Designed for data scientists, clinicians, engineers, and healthcare innovators working at the intersection of language and medicine.