Overview
As artificial intelligence continues to transform the landscape of research, many Institutional Review Boards (IRBs) are encountering terms related to AI in their review processes. This rapidly evolving field requires IRBs and research institutions to continuously update their operations and policies to ensure they can effectively support researchers navigating AI applications.
With the growing use of AI in research, it is essential to consider how technology’s advancement impacts the protection of research participants and the ethical conduct of studies. A key aspect of this is evaluating mechanisms that allow information, recruitment, and consent materials to be understandable to participants, ensuring that participants are fully informed and protected throughout the research process.
This webinar will delve into the complexities of AI research, helping your office and IRB board better understand its application within research contexts. Explore real-world case studies that demonstrate how to apply key principles and skills—bridging the gap between theory and practice.
As technology evolves, it’s critical to apply ethical principles and regulatory frameworks to ensure that emerging research methodologies, particularly those involving AI, align with participant protections. Attendees will leave with actionable strategies that will empower them to address the unique challenges AI presents, ensuring that research practices remain ethically sound and legally compliant.
Join us for this important session, designed to equip your team with the tools to navigate the changing landscape of research involving AI, and to strengthen your office's ability to adapt to new ethical challenges as the field evolves.
Presenters: Tamiko Eto and Benjamin Silverman
Cost
Members: Free
Nonmembers: $190
What Will I Learn?
- Review and understand common terms used in research with AI and how previously identified risks may apply in the LLM and generative AI space.
- Evaluate mechanisms that allow information, recruitment, and consent materials to be understandable to participants.
Audience
- IRB and IACUC professionals seeking to strengthen their understanding of how AI and data practices intersect with research oversight responsibilities.
- Researchers and research staff who are incorporating or reviewing AI methodologies in study design and want to ensure ethical and compliant data practices.
- Institutional officials and compliance officers responsible for developing policies related to AI use, data governance, and adherence to emerging regulations.
- Research ethics educators and policy professionals interested in staying current with developments at the intersection of AI, transparency, and public trust.
Credits Offered
CE Credit
Participants will receive a certificate of attendance that documents up to 1 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 continuing education credits towards CIP recertification. Please refer to the CIP® recertification guidelines for additional information.
Presenter
Benjamin C. Silverman, M.D
Senior IRB Chair at Mass General Brigham, Human Research Affairs
Benjamin C. Silverman, M.D. is the Senior IRB Chair at Mass General Brigham, Human Research Affairs. Additionally, Dr. Silverman is currently the Chair of the Mass General Brigham Embryonic Stem Cell Research Oversight (ESCRO) Committee, Director of Ethics for the Institute for Technology in Psychiatry at McLean Hospital, and at Harvard Medical School, serves as an Assistant Professor of Psychiatry and a Faculty Member in the Center for Bioethics. Dr. Silverman received his medical degree from the Johns Hopkins University School of Medicine, completed his psychiatry residency at the MGH McLean Adult Psychiatry Residency Training program, and completed sub-specialty fellowship training in addiction psychiatry through Mass General Brigham.