Dr. Xiaoye Wang

Field of Expertise: Artificial Intelligence (AI) in Medicine

Dr. Xiaoye Wang is a researcher specializing in the application of artificial intelligence within the medical field. He has contributed to studies addressing safety challenges associated with AI deployment in healthcare. Her work emphasizes the importance of aligning AI systems with human-defined objectives to ensure patient safety and trust.​

Current Research or Discovery

Dr. Wang is the lead author of the paper titled “Safety challenges of AI in medicine in the era of large language models,” published in September 2024. This research examines potential risks in AI applications in medicine, including issues like reduced performance across diverse populations, inconsistent operational stability, and data privacy concerns. The study also highlights specific safety issues related to large language models (LLMs) in medical contexts, such as limitations in processing complex logic and challenges in aligning AI objectives with human values.

Contributions to Research

Dr. Wang’s contributions include addressing reliability and alignment challenges in AI applications within medicine. Her research provides insights into ensuring the safe and ethical deployment of AI technologies in healthcare settings.

Affiliation

• Dr. Wang is affiliated with the National University of Singapore and the University of Cambridge, as indicated in her recent publication.

Contact

Email: xm453@cam.ac.uk