5 citations · 5 across the 3 of their papers we have counts for
4 papers
Challenges of Auditing: Variability in Outputs of Large Language Models for Health
Yuan Pu, Yewon Chang, Furong Jia +4
People increasingly use frontier AI models for health advice, but via different access modes (e.g., ChatGPT, ChatGPT Health, APIs) with varying settings. Here, we find systematic d…
MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication
Sraavya Sambara, Yuan Pu, Ayman Ali +3
Real-world health questions from patients often unintentionally embed false assumptions or premises. In such cases, safe medical communication typically involves redirection: addre…
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
Akshay Paruchuri, Maryam Aziz, Rohit Vartak +5
People are increasingly seeking healthcare information from large language models (LLMs) via interactive chatbots, yet the nature and inherent risks of these conversations remain l…
Retrieval-augmented systems can be dangerous medical communicators
Lionel Wong, Ayman Ali, Raymond Xiong +3
Patients have long sought health information online, and increasingly, they are turning to generative AI to answer their health-related queries. Given the high stakes of the medica…