Artificial Intelligence in Nursing Education: A Comprehensive Literature Review Integrating Ethical, Professional, and Accreditation Perspectives
Tamara Washington-Brown.
Artificial intelligence (AI) is rapidly transforming healthcare delivery and nurse education. This evidence-based literature review examines how AI technologies—particularly generative models, predictive analytics, and adaptive learning systems—are being incorporated into nursing education between 2019 and 2025. Guided by the Iowa Model of Evidence-Based Practice, this review synthesizes empirical findings while integrating ethical principles and professional standards from the National League for Nursing (NLN), American Nurses Association (ANA), and American Nurses Credentialing Center (ANCC). Findings reveal promising outcomes in simulation, individualized learning, and faculty development, tempered by concerns about equity, privacy, academic integrity, and bias. Recommendations are offered for ethically grounded, evidence-aligned adoption of AI in nursing curricula and continuing professional development.
