Oct 2026· Nursing Outlook· Vol 74 6, pp.
102908
· 0 citations· 55 references
Medicine
Abstract
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 literature to explore the perspectives of nurses and nursing students regarding the ethical design, implementation, and use of AI technologies.
Methods
A scoping review was conducted analyzing peer-reviewed articles published from 2014 through 2025. Following a systematic search that identified 1,259 potential records, 50 articles met inclusion criteria for final analysis. Data were extracted to identify core ethical themes, which were subsequently aligned with the professional standards of the American Nurses Association (ANA) and International Council of Nurses (ICN) codes of ethics.
Discussion
Findings were synthesized into a tripartite framework comprising nine themes across three domains: (1) User-Focused (Autonomy, Erosion of Knowledge/Skills, and Human Contact/Empathy); (2) Technology-Focused (Privacy/Security, Performance/Reliability, and Transparency/Explainability); and (3) Contextual (Justice/Equity, Liability/Accountability, and Education/Training). Critical tensions identified include the friction between algorithmic outputs and clinical intuition, the risk of deskilling through AI dependency, the black box nature of opaque algorithms, and a pervasive responsibility gap regarding professional liability for AI-driven errors.
Conclusion
For AI to be successfully integrated, it must function as a supportive adjunct rather than a replacement for nursing judgment and the irreplaceable human-to-human connection. Transitioning the profession from ethical anxiety to ethical stewardship requires the urgent development of dedicated nursing-AI ethical frameworks, shared accountability models, and robust educational initiatives. Such measures are essential to ensure that emerging technologies reinforce, rather than erode, the foundational values of the nursing profession.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
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Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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