Artificial Intelligence vs. Human Performance: How effective is AI? – UROP Symposium

Artificial Intelligence vs. Human Performance: How effective is AI?

Sydney Ng

Pronouns: she/her

Research Mentor(s): Deanna Marriott
Research Mentor School/College/Department: / Nursing
Program:
Authors:
Session: Session 5: 2:40 pm – 3:30 pm
Poster: 6

Abstract

Large-scale AI applications are trained on massive amounts of data in order to generate human-like responses to a variety of questions. The goals set forth by this project involves reading clinical papers with the assistance of AI applications such as Microsoft Edge’s Co-Pilot to more efficiently extract data. Specifically, the data extracted comes from scientific research papers on diabetes and bariatric surgery. Rather than absolute findings and results from the project, major results of the study involve the gain of knowledge by students in understanding the outline of medical papers and the language that is utilized, while also gaining experience in applying AI programs to assist with more tedious tasks in research such as data extraction. Completing the data extraction of the medical papers in the goal of training the aforementioned AI will prove vital in creating a shortcut in extracting data thus making a time consuming task a quick one.

Biomedical Sciences, Interdisciplinary

lsa logoum logo