This HI Nursing Education Policy Guide encompasses three standards for AI use: Ontological/Ethical; Epistemological/Empirical; and Methodological/Praxis, which hold promise as guides to sustaining HI in nursing education.
Abstract
Background
Nursing educators have the responsibility to ensure human caring, the heart and soul of Professional Nursing, is preserved and evolves against pervasive technology supremacy.
Purpose
This paper offers a Human Intelligence (HI) Nursing Education Policy Guide for ethical complementary use of artificial intelligence (AI).
Method
Scholarly discourse using Unitary Caring Science underpinning the disciplinary framework for HI, strengthened by Watson's 10 Caritas Processes.
Discussion
This Policy Guide provides a complementary, discipline-specific, HI answer to AI's potential ascendancy in Nursing Education. This HI Nursing Education Policy Guide encompasses three standards for AI use: Ontological/Ethical; Epistemological/Empirical; and Methodological/Praxis.
Conclusion
Collectively, these three HI discipline-specific standards hold promise as guides to sustaining HI in nursing education.
BACKGROUND
Artificial intelligence (AI) is rapidly transforming nursing and health professions education. Although these technologies offer opportunities for innovation, they also raise concerns related to professional identity, ethical judgment, depersonalization, and burnout.
METHOD
This conceptual article synthesi...
Bonnie Soik· The Journal of Nursery Educa...· 0 citations
BACKGROUND
As artificial intelligence (AI) rapidly integrates into nursing practice, education, and research, it presents a profound ethical paradox: significant opportunities for operational efficiency alongside deep-seated challenges to the profession's core values.
PURPOSE
This scoping review synthesizes existing...
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Sources on AI literacy, responsiveness, and related nursing concepts were thematically synthesized and four defining attributes were identified: foundational understanding of AI, critical appraisal of AI outputs, ethical and accountable response, and integration with clinical judgment.
Areej Al-Hamad, Y. Yasin, Lujain Yasin· ANS. Advances in nursing sci...· 0 citations
An evidence‐informed nursing policy framework for the safe, equitable and human‐centred integration of artificial intelligence into family nursing is proposed and Japan is used as an illustrative context.
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This book examines the ethical challenges and opportunities arising from the integration of artificial intelligence into nursing and healthcare and highlights the continuing importance of nurses as ethical agents who safeguard the humanity of care while engaging critically with emerging technologies.
Adelaide Edina Almeida da Costa, Abdul Wakhid, Priyanto et al.· 0 citations
Background: Educational technology and artificial intelligence (AI) are transforming nursing education by expanding approaches to instruction, assessment, and clinical simulation. These innovations offer opportunities to enhance learning while creating ethical, professional, and pedagogical challenges requiring thought...
William G. Zic· Journal of Nursing Care &...· 0 citations
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