Research Integrity Series

Does using AI-generated text in research manuscripts constitute plagiarism? Is AI-generated work copyrighted? Should AI detection be used for figures or text incorporated into journal submission? 

The Research Integrity Series, a multi-part event designed to promote ethical practices, transparency, and accountability in research will explore burgeoning and evolving topics and themes in research.

Part I

This first installment focuses on the intersections between the use of Artificial Intelligence and research integrity, including themes of copyright, peer review, identifiable information, editing tools, and plagiarism. 

Three speakers with experience using AI to address public health challenges will ruminate on the answers to pressing questions in this exploratory discussion on the parameters surrounding AI use in in public health research. Whether you're just beginning your research career or are a seasoned professional, this session is an essential opportunity to deepen your understanding of using Artificial Intelligence in ethical research practices.

Date & Time: Wednesday, October 9, 2024, 12:00p.m.-1:00p.m.
Location: W1214 / Sheldon Hall
Audience: Open to all researchers, faculty, and students

Featured Speakers

Ilinca Ciubotariu, PhD

Assistant Scientist, Molecular Microbiology and Immunology

Brian Klaas, BA

Instructor, Molecular Microbiology and Immunology

Gregory Kirk, MD

Vice Dean for Research, Professor, Epidemiology