PRIM&R Seminar
A Comprehensive Guide to Lessons Learned in the IRB Review of AI Research
Tuesday, October 28, 2025 1:00–2:30 PM ET
Overview
The rapid advancement of artificial intelligence (AI) is transforming the research enterprise. Institutional Review Boards (IRBs) must be equipped to understand and evaluate the risks, benefits, and implications of AI-driven studies - particularly those involving human participants. Institutional Review Boards (IRBs) must be equipped to understand and evaluate the risks, benefits, and implications of AI-driven studies—particularly those involving human participants. As research protocols increasingly incorporate AI, IRBs face the urgent task of adapting their review processes to ensure continued protection of rights and welfare.
This seminar provides a foundational overview of AI concepts and their applications across diverse research settings. Participants will learn to distinguish between studies that use AI to support research aims and those that develop new AI tools—an essential distinction when assessing ethical considerations such as transparency, bias, and informed consent. Through interactive case studies and real-world examples, attendees will explore how AI intersects with core ethical principles, with particular attention to the Belmont Report’s guidance on respect for persons, beneficence, and justice.
Designed for IRB members, institutional officials, and research oversight professionals, participants will gain tools for identifying key questions, applying ethical frameworks, and navigating complexity of emerging technologies.
Cost
Members: $240
Nonmembers: $350
What Will I Learn?
- Define key AI concepts and describe their applications in various research settings.
- Differentiate between research that uses AI and research that develops AI tools or models.
- Relate emerging ethical challenges in AI research to the principles of the Belmont Report, including issues of transparency, bias, and consent.
- Apply key questions and decision-making frameworks to guide IRB review of AI-involved research.
Audience
- HRPP/IRB Directors, IRB Administrators, Manager and Staff, IRB Members, Chairs, and Vice Chairs, Compliance Personnel, Researchers and Research Staff
Credits Offered
CE Credit
Participants will receive a certificate of attendance that documents up to 1.5 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.
CIP®/CPIA® Credit
Participants holding the Certified IRB Professional (CIP®️) credential may apply 1.5 continuing education credits towards CIP recertification. Please refer to the CIP®️ recertification guidelines for additional information.
Presenters
Caroline Davis
Caroline Davis has managed the Ethics Review Program and Institutional Review Board within Microsoft Research (MSR) since 2019. Prior to MSR, she spent eight years in research administration and oversight at Fred Hutch / University of Washington Cancer Research Center in Seattle. Caroline is passionate about guiding researchers from all disciplines in how to effectively apply ethical principles to novel methodologies, in ways that respect the rights and welfare of those contributing to the research. She holds a BA in Political Science from Dickinson College.
Mary L. Gray
Mary L. Gray is Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. She maintains a faculty position in the Luddy School of Informatics, Computing, and Engineering with affiliations in Anthropology and Gender Studies at Indiana University. Mary, an anthropologist and media scholar by training, focuses on how people’s everyday uses of technologies transform labor, identity, and human rights. Mary earned her PhD in Communication from the University of California at San Diego in 2004, under the direction of Susan Leigh Star. In 2020, Mary was named a MacArthur Fellow for her contributions to anthropology and the study of technology, digital economies, and society.