Explainable AI
A common criticism of AI is that it operates as a black box, providing no insight into how results are generated. In this seminar, Josh Fuchs, PhD, will introduce Explainable AI — a set of approaches for understanding and interpreting how classical Machine Learning models and Large Language Models produce their predictions. Understanding the 'why' behind AI outputs is essential for building appropriate trust, identifying bias, and supporting safe deployment in high-stakes settings like healthcare.
Speaker:
Josh Fuchs, PhD
Research Data Scientist
TraCS Data Science Lab
Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are usually held monthly on the third Tuesday of the month from 12:30-1:30 p.m. in the NC TraCS suite (room 219) on the 2nd floor of Brinkhous-Bullitt or via Zoom.