Enhancing Cultural Competence in Nursing Education Through Generative Artificial Intelligence Tools

Abstract

Introduction:

Cultural competence is vital for nursing students providing patient-centered care. Generative artificial intelligence (AI) tools can enhance education in this area by promoting reflective learning and bias recognition.

Methods:

This discussion paper reviews literature on AI applications in nursing education aligned with cultural competence frameworks such as Leininger’s Sunrise Model and Jeffreys’ Cultural Competence and Confidence Model. Examples include AI-generated case studies, bias evaluation, medical language translation, and simulated patient communication.

Results:

AI tools can supplement human instruction and clinical experiences in hybrid learning models. They offer interactive, personalized learning to improve communication and promote ethical care. Challenges include ensuring AI accuracy, mitigating bias, and avoiding over-reliance that could diminish critical thinking.

Discussion:

Thoughtful AI integration can strengthen cultural humility and critical thinking. To maximize benefits, faculty development, ethical safeguards, and interdisciplinary collaboration are necessary, ensuring that empathy and human judgment remain central to nursing education.