A Five-Step Faculty Development Checklist for Artificial Intelligence in Nursing Education.

Abstract

Background: Artificial intelligence (AI) is increasingly available to faculty and students, yet adoption remains uneven. Faculty report uncertainty about capabilities, limitations, and ethical boundaries, and lack time for integration, while institutions grapple with policy, privacy, and equity concerns. The purpose of this article is to provide a concise, nursing faculty-centered AI development checklist for responsible AI integration in teaching and assessment.

Method: AI implementation guidance was synthesized into a five-step checklist for faculty AI competency development.

Results: The checklist converts exploratory evidence into a logical faculty development plan, emphasizing practical steps that reduce cognitive load, standardize expectations, and support equitable access to enable rapid adoption and consistent implementation for individuals, programs, and institutions.

Conclusion: With a concise evidence-based checklist, nurses can achieve the benefits of AI while advancing equity and preserving the human-centered core of the nursing profession. This checklist simplifies steps for understanding new technologies, adds to research on competencies, and improves instructional efficiency.