Abstract:

The emergence of generative artificial intelligence（GenAI） based on large language models（LLMs） marks a breakthrough in artificial intelligence technology. Studies have shown that integrating AI technology into nursing education practice can significantly enhance teachers’ teaching efficiency and improve students’ learning experiences. However，the core ethical challenges accompanying the widespread application of AI urgently require systematic investigation. This study reviews the various ethical challenges that may arise when LLMs are applied in nursing education practice，including data privacy and security risks，algorithm bias and educational equity concerns，insufficient informed consent and transparency，ambiguous liability and accountability dilemmas，absence of humanistic care and emotional connection，and erosion of academic integrity and distortions in competency assessment. Based on this，this study proposes a diversified governance path covering data security safeguards，bias mitigation strategies，standardized informed consent，clear liability delineation，strengthened humanistic care，and integrity enhancement measures. The research results can provide practical guidance for nursing educators to reasonably，safely，and effectively apply LLMs，and offer theoretical references for promoting the ethically aligned development of artificial intelligence technology and nursing education.

Key words: Artificial Intelligence, Large Language Models, Education, Nursing, Ethics, Nursing, Governance Pathways