Reflections and Insights from Real-World Cases in Nursing Higher Education

Abstract

Artificial intelligence (AI) is transforming both higher education and healthcare practice landscapes, driving key stakeholders to explore the opportunities and challenges it offers. This paper presents real-world cases identified by a team of authors, including a graduate nursing faculty member, an occupational therapy faculty member and health data expert, a computer science faculty member, and a physician and bioethicist. The authors describe use cases of students who used AI in a graduate nursing course and examine the ethical implications. They share their current interprofessional perspectives and reflections to foster continued dialogue and discernment about the role of generative AI in higher education. As AI continues to grow and evolve, both educators and students will need to develop and understand ground rules. Ethics provides us with a way of exploring AI use cases so that we can share and learn from our own and others' experiences.