Assessing AI Health Communication Using Simulated Patient Conversations

This project explores how AI systems communicate health information across simulated patient interactions with different communication styles. Conversations are evaluated using structured criteria including clarity, accuracy, empathy, and information gathering.

Intern: Chloe Chung

Mentor: Samantha Levy (AOS)