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PRIM&R Webinar

AI in Regulatory Oversight Operations

Thursday, December 12, 2024 1:00–2:15 PM ET
Register Here

Overview

Advances in artificial intelligence (AI) have led to increased discussions about the appropriate use of AI in research. However, AI also offers exciting opportunities for applications in the administration of research compliance. In this webinar we will explore some of AI’s capabilities as they relate to core regulatory operations. It will showcase how AI can be leveraged by institutions to improve efficiency, redirect workload, and enhance user experience.

Cost

Members: FREE Nonmembers: $190
What Will I Learn?

  • Identify how AI contributes to efficiency and addresses administrative challenges in research compliance oversight.
  • Explore different applications of AI in compliance administration, understanding insights, and addressing workplace queries effectively.

Credits Offered

CE Credit
Participants will receive a certificate of attendance that documents up to 1.25 continuing education credit hours for their attendance at this webinar. Certificates of attendance are useful for obtaining CE credits from professional associations. Each association's guidelines for accepting CE credit hours (in-person or virtual) may differ. Please consult the appropriate association representative for information on if, and how many, CE credits from this PRIM&R webinar may be used.

Kirstin Morningstar

Senior Director of the Office of Regulatory Services at The University of Texas at Arlington
Kirstin received a B.S. in Biomedical Science from Texas A&M University, and an MBA from UTA. She has 20+ years of experience in research compliance and holds CIP certification in IRB administration and CPIA certification in IACUC administration. She also serves on the Board of Directors for the Texas Society for Biomedical Research (TSBR). Her office is responsible for oversight and coordination of programs for the IRB, IACUC, IBC, research conflicts of interest, export control, research misconduct, foreign influence, and responsible conduct of research (RCR).