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Governance and guardrails: Generative AI for NP education

A practical, faculty-focused session on how NP programs can govern and apply generative AI to support clinical reasoning, assessment, and program-wide consistency.

March 23, 2026 at 12:00 PM EST

Live

60 minutes including Q&A

Stephen A. Ferrara, DNP, FNP-BC

Professor, Founding Associate Dean, Artificial Intelligence

Olivia Livernois, MSN, FNP-BC

Family Nurse Practitioner, Nursing Program Specialist

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.

Webinar overview

As generative AI becomes increasingly embedded in clinical practice and education, nurse practitioner faculty are being asked to determine not only whether AI should be used, but how it can be integrated responsibly into teaching, learning, and assessment. Without clear guardrails, AI risks undermining clinical reasoning, assessment validity, and academic integrity. With the right governance and instructional design, however, it can meaningfully support learner development and program outcomes.

In this session, Stephen A. Ferrara, DNP, FNP-BC, Professor at Columbia University School of Nursing and founding Associate Dean for Artificial Intelligence, will examine how NP faculty can thoughtfully incorporate generative AI into their curricula while maintaining rigor, transparency, and alignment with program goals. Drawing on his leadership in NP education, policy, and AI literacy, Dr. Ferrara will explore key principles for responsible use, including ethical considerations, acceptable use expectations, documentation practices, and governance structures that support consistent, program-level implementation.

Through real-world examples from NP programs, Olivia Livernois, MSN, FNP-BC will highlight practical applications of AI-supported learning and assessment, including AI-enabled clinical reasoning simulations and board preparation strategies. Attendees will leave with concrete approaches they can adapt within their own programs to integrate AI in ways that enhance learning while preserving the development of sound clinical judgment.

What you'll learn

Assess the risks and opportunities of generative AI use in NP education and its impact on clinical reasoning and assessment validity.

Design governance frameworks that support responsible, transparent, and consistent use of generative AI across NP programs.

Apply instructional and assessment strategies that leverage generative AI to enhance learning outcomes without undermining clinical judgment.

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Meet your expert speakers

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Dr. Raj Kumar, MD, MPH
Associate Dean for Clinical Education, Stanford University School of Medicine

Dr. Kumar leads Stanford's clinical reasoning curriculum and oversees assessment innovation across all clinical clerkships. He is a pioneer in integrating AI-enhanced simulation into medical education and has received multiple teaching awards for his work developing competency-based assessment frameworks. His expertise spans internal medicine, medical education, and healthcare quality improvement.

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Olivia Livernois, MSN, FNP-BC
Family Nurse Practitioner, BLS Instructor, Nursing Program Specialist

Olivia Livernois, MSN, FNP-BC, is a practicing Family Nurse Practitioner, educator, and Nursing Program Specialist at Sketchy. She collaborates with nurse practitioner programs nationwide to align clinical reasoning, communication, and virtual simulation-based learning with curricular goals and competency frameworks. Her clinical background spans critical care, occupational health, hospice, and urgent care, and she currently practices in urgent care and occupational health/primary care settings, delivering accessible, real-world care to diverse patient populations. Olivia is passionate about advancing innovative, student-centered learning that strengthens diagnostic reasoning and prepares learners for high-stakes clinical practice.

Dr. Stephen A. Ferrara, DNP, FNP-BC
Professor, Founding Associate Dean, Artificial Intelligence at Columbia University School of Nursing

Dr. Stephen A. Ferrara, DNP, FNP-BC, is a nationally recognized healthcare leader, nurse practitioner, and Professor at Columbia University School of Nursing, where he served as the founding Associate Dean for Artificial Intelligence. He is the immediate past President of the American Association of Nurse Practitioners and is Editor-in-Chief of the Journal of Doctoral Nursing Practice. In New York, he led advocacy efforts that helped advance the Nurse Practitioner Modernization Act, expanding practice authority for experienced NPs. He also founded AI + Nurse Academy to support responsible, evidence-based AI literacy for clinicians.

Secure your spot today

Join us for this free webinar and gain practical strategies on how NP programs can govern and apply generative AI to support clinical reasoning, assessment, and program-wide consistency.

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.