When AI Fails in Health Research
Although powerful, AI tools and methods can still generate misleading results without proper implementation and supervision. In this seminar, JP Powers, PhD, will discuss some limitations and common pitfalls around using machine learning and large language models in research.
Speaker:
JP Powers, 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 each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.
This session provides an overview of some of the upcoming changes to the National Institutes of Health (NIH) grant application requirements, including new Common Forms that will be required for due dates on or after January 25, 2026.
In particular, this presentation will focus on the Biosketch and Current and Pending (Other) Support forms, which will need to be completed using the SciENcv tool. It will include demonstrations of SciENcv as well as ORCID iD creation and linking steps. The presentation aims to prepare researchers for the new NIH requirements by providing detailed instructions and resources to ensure compliance.
This program is offered via Zoom by the Health Sciences Library and led by Katherine Howell, MSLIS.