Perfecting Human-AI Interaction at Clinical Scale. Turning Production Signals into Safer, More Human Conversations
By: Subhabrata Mukherjee, Markel Sanz Ausin, Kriti Aggarwal, Debajyoti Datta, Shanil Puri, Woojeong Jin, Tanmay Laud, Neha Manjunath, Jiayuan Ding, Bibek Paudel, Jan Schellenberger, Zepeng Frazier Huo, Walter Shen, Nima Shirazian, Nate Potter, Sathvik Perkari, Darya Filippova, Anton Morozov, Austin Mease, Vivek Muppalla, Ghada Shakir, Alex Miller, Juliana Ghukasyan, Mariska Raglow-Defranco, Maggie Taylor, Herprit Mahal, Jonathan Agnew
Published: 2026-04-01
View on arXiv →Abstract
This paper explores methods for perfecting human-AI interaction in clinical settings, focusing on converting production signals into safer and more human-like conversations. It addresses the crucial need for reliable and empathetic AI systems in healthcare, enhancing the quality and safety of patient-AI interactions.