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
Agenda
Presenters
Tamiko Eto, MA, CIP
Center for AI & Digital Policy (CAIDP) | Founder, Tech in HSR
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.
Heather Miller, PhD, CIP
North Star Review Board
Heather Miller, PhD, CIP, has worked in human research protections since 2008 and is proud to serve on the North Star Review Board, an independent, not-for-profit IRB. Heather is committed to justice and is passionate about working with all stakeholders: researchers and their staff, committee members, HRPP and IRB staff, students, and research participants using a facilitative and pragmatic model of support. She provides a path to detangle and efficiently operationalize the regulations through kindness and empathy. Most recently Heather has been co-leading a qualitative research project on the perceptions of IRB/HRPP professionals regarding the Belmont Report and AI and working on the initiative “Beyond Belmont: Convening a National Initiative to Update U.S. Research Ethics Principles for the Age of AI”. Heather is a proud member of the Clubhouse Human Research Protection advisory board and is very active in providing free educational opportunities and mentoring to the HRPP and IRB and compliance communities. Heather’s past experiences, specifically collaborating with Native scholars and creating processes to help IRB’s consider research with American Indian/Alaska Native participants, along with working with leaders from the Disability Rights Education and Defense Fund to provide accessible recruitment and informed consent documents for research participants, has deeply formed how she interprets and educates on the regulations. Heather always considers ethics beyond the regulations. When Heather is not working on human subjects related challenges, she enjoys stand-up paddle boarding with her husband, perfecting making the best eggs for breakfast, is recently training to be a Pure Barre instructor, and loves tiring out her 4 dogs while hiking.
Rafael González, PhD
Universidad Javeriana, Bogotá
Rafael González is a Professor of Information Systems at Universidad Javeriana, Bogotá. He holds an MSc in Computer Science and a PhD in Systems Engineering (cum laude) from Delft University of Technology. His research and consulting focus on information systems, knowledge management, data analytics, and digital health technologies. He has served as Chair of the Systems Engineering Department, Director of the CAOBA Big Data Alliance, and Deputy Director of the Colombia Científica Program GAT. He is currently Editor of Engineering for Development.
Mark Lifson, PhD
Mayo Clinic’s Center for Digital Health
Dr. Mark Lifson is the Director of Systems Engineering AI for Mayo Clinic’s Center for Digital Health. In this role, he leads a team of skilled engineers to translate medical research software safely and effectively into the clinic using industry best practices. He also serves as AI Expert Reviewer for the Mayo Clinic IRB. In his previous role at Abbott Laboratories, Mark was involved in the development and launch of commercial laboratory hematology analyzers and AI/ML algorithms and gained increasing responsibilities across various aspects of the business, including commercial, quality, and regulatory operations. Mark earned his Computer Engineering bachelor’s degree from the Rochester Institute of Technology, focused on advanced networking and algorithms. Mark went on to complete a Ph.D. in Biomedical Engineering from the University of Rochester, where he published research and co-invented new types of novel nanomaterials before pursuing a postdoctoral fellowship at Stanford University, where he focused on developing nanoscale point-of-care diagnostics.