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A PRIM&R Core Training

Hands-On Training on Artificial Intelligence

Tuesdays | December 2, 9, & 16, 2025 1:00–3:00 PM ET

Learning Labs | Thursdays | December 4 & 11
Register Here

Overview

Artificial intelligence is no longer a future concept—it is actively reshaping how research is conducted, overseen, and managed. For professionals in research compliance and administration, understanding how to effectively and ethically integrate AI into core processes is critical. This interactive workshop equips participants with the tools and confidence to do just that. Designed for individuals working across academic institutions, healthcare organizations, private industry, and government agencies, this training focuses on real-world applications of generative AI within research oversight. Participants will explore how AI can streamline routine tasks, including document review, knowledge management, and data sourcing, while also gaining hands-on experience with tools for evaluating AI-generated outputs, training datasets, and data visualization. More than just a technical overview, this session emphasizes ethical considerations and regulatory responsibilities—helping participants navigate the risks, biases, and accountability challenges inherent in using AI. Through applied exercises and guided discussions, attendees will develop a deeper understanding of AI’s capabilities and limitations and walk away with practical strategies for integrating AI into their day-to-day operations. Whether you are just beginning to explore AI or are seeking to refine your institution’s approach, this workshop will help you build essential skills, promote responsible innovation, and enhance your decision-making in a fast-changing research landscape. Join us to stay ahead of the curve—and ensure your oversight practices evolve in step with the technologies shaping the future of research.

Cost:

Members: $350Nonmembers: $595
Dates are subject to change.
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Agenda

Tuesday, December 2 1:00–3:00 PM ET
Tuesday, December 9 1:00–3:00 PM ET
Tuesday, December 16 1:00–3:00 PM ET
Learning Labs Thursdays | December 4 & 11 1:00–2:00 PM ET

CE Credit

Participants will receive a certificate of attendance that documents up to 8 continuing education credit hours for their attendance at this workshop. 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 workshop may be used. This program is not eligible for CIP®/CPIA® recertification by continuing education credit.

What Will I Learn?

  • Develop effective AI prompting techniques and evaluate AI-generated outputs for accuracy and compliance.
  • Identify AI applications in research administration, including data sourcing, knowledge management, and workflow optimization.
  • Apply ethical AI integration strategies while recognizing AI’s limitations and policy implications.

Presenters

LeBrit Nickerson, JD

Administrator for Research Compliance and Regulatory Affairs’ (RCRA) Program Effectiveness, Emory College
LeBrit Nickerson is a highly skilled research compliance professional with extensive experience in regulatory affairs, contract negotiation, and grants management within university, corporate, and government settings. LeBrit excels in policy development, risk assessment, and regulatory compliance, including emerging areas such as artificial intelligence (AI) in research. LeBrit serves as the Administrator for Research Compliance and Regulatory Affairs’ (RCRA) Program Effectiveness unit. In this role, LeBrit ensures that Emory’s research compliance program aligns with state and federal laws and regulations; leads and conducts policy development and approvals for the Office of Research Administration (ORA); assists with investigations and reports for research noncompliance; and conducts research-related training and education programs for the Emory research community. LeBrit also supports institutional readiness around AI in research by identifying regulatory gaps, promoting responsible AI use, and integrating AI compliance considerations into policy and training initiatives. LeBrit is dedicated to fostering compliance-driven environments that support innovation and ethical research practices. LeBrit holds a law degree from the University of Maryland Francis King Carey School of Law.

Tamiko Eto

Sr. Researcher and Teaching Fellow, Center for AI & Digital Policy (CAIDP) | Founder, TechInHSR
Ms. Eto brings over 20 years of leadership in human subjects research protections at world-class research hospitals and universities, specializing in research compliance, technology risk assessment, and the ethical oversight of complex AI-driven studies. She’s a recognized thought leader in interpreting and shaping policies around AI-enabled research, bridging the gap between cutting-edge innovation and regulatory frameworks. Her practical approach has led to the creation of essential tools, checklists, and training modules that empower Institutional Review Boards (IRBs) and Ethics Committees globally, to confidently review AI research. She’s also an educator, delivering targeted webinars and courses to elevate ethical standards across institutions. Ms. Eto actively shapes the future of AI ethics and policy through key advisory and leadership roles, including: AI Ethics Advisory Board Member for the Institute of Experiential AI; Policy Advisor & Sr. Teaching Fellow at the Center for AI and Digital Policy (CAIDP); OECD.AI Expert Working Group Member; National IRB Collaborative for AI/ML/Big Data (PRIM&R/Emory); National Task Force for IRB Review of Clinical Trials Involving AI (MRCT/WCG); NIST Generative AI Public Working Group; AEREO Consortium Member (Advancing Effective Research Ethics Oversight); and IEEE Society on Social Implications of Technology and Standards Association. Guided by a forward-looking vision, Ms. Eto advances the frontiers of research ethics to address the challenges of emerging AI technologies, fostering innovation that is both responsible and grounded in integrity.