4.4 Article

Cyberethics in nursing education: Ethical implications of artificial intelligence

期刊

NURSING ETHICS
卷 -, 期 -, 页码 -

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SAGE PUBLICATIONS LTD
DOI: 10.1177/09697330231201901

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Artificial intelligence; cyberethics; ethical implications; generative artificial intelligence; nursing education

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With the increasing use of artificial intelligence technologies, particularly generative AI, in nursing education, it is crucial to address the ethical implications of their implementation. This article explores the field of cyberethics and highlights the ethical principles of autonomy, nonmaleficence, beneficence, justice, and explicability as a roadmap for integrating AI into nursing education. Adherence to these principles is essential for improving patient care and offering solutions to ethical dilemmas that may arise. It is important to weave these principles into the curriculum and develop appropriate guidelines to ensure the ethical use of AI in nursing education.
As the use of artificial intelligence (AI) technologies, particularly generative AI (Gen AI), becomes increasingly prevalent in nursing education, it is paramount to address the ethical implications of their implementation. This article explores the realm of cyberethics (a field of applied ethics that focuses on the ethical, legal, and social implications of cybertechnology), highlighting the ethical principles of autonomy, nonmaleficence, beneficence, justice, and explicability as a roadmap for facilitating AI integration into nursing education. Research findings suggest that ethical dilemmas that challenge these five principles can emerge within the context of nursing education; however, adherence to these very principles, which is essential to improving patient care, can offer solutions to these dilemmas. To ensure the ethical and responsible use of Gen AI in nursing education, these principles must be woven into the fabric of curricula, and appropriate guidelines must be developed. Nurse educators have a pivotal role in strategizing comprehensive approaches for ethical AI integration, establishing clear guidelines, and instilling critical thinking among students. Fostering lifelong learning and adaptability is key to ensuring that future nurses can successfully navigate the constantly evolving landscape of health care technology. Future research should investigate the long-term impacts of AI utilization on learning outcomes and ethical decision-making.

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