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Background: The field of formal nursing ethics is not new, with literature primarily from North America, dating back to the 1880s. The establishment of the international journal Nursing Ethics in 1994 served to stimulate, curate and disseminate research and scholarship in this evolving field. Three decades on, it is timely to review progress and to make recommendations for the future focus of the field., Purpose: This article reviews 182 issues of Nursing Ethics over 30 years, focusing on: regions of origin of published articles; methodologies; and topic themes., Research Design: The process involved documentary analysis, by hand, summarising: (1) regions of origin; (2) most common methodologies - qualitative; quantitative; mixed methods; argument-based; and reviews; and (3) themes relating to topic areas., Ethical Considerations: The manuscript was reviewed by members of the Nursing Ethics Editorial Board and revised in accord with reviewers' feedback. The research did not involve human participants nor require consent from individuals., Findings: There has been an escalation of scholarship in nursing ethics with significant shifts over 3 decades, as evidenced in the journal Nursing Ethics . This paper focuses on trends relating to: (1) Regions of origin of published papers - initially manuscripts were primarily from Europe and North America and there is now more geographical diversity; (2) Methodologies - there is strong evidence of the 'empirical turn' from an initial focus on philosophical perspectives to empirical research, particularly quantitative research; and (3) Topic areas - whilst there is rich diversity, there has been increasing focus on areas such as moral distress, ethical climate and ethics education., Conclusion: This review is intended to stimulate reflection on progress made and approaches to future directions. This includes more critical focus on: the meaning and purpose of nursing ethics; impact on practice, education and research; and potential to respond to care challenges., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Unlabelled: The ethics of artificial intelligence (AI) are increasingly recognized due to concerns such as algorithmic bias, opacity, trust issues, data security, and fairness. Specifically, machine learning algorithms, central to AI technologies, are essential in striving for ethically sound systems that mimic human intelligence. These technologies rely heavily on data, which often remain obscured within complex systems and must be prioritized for ethical collection, processing, and usage. The significance of data ethics in achieving responsible AI was first highlighted in the broader context of health care and subsequently in nursing. This viewpoint explores the principles of data ethics, drawing on relevant frameworks and strategies identified through a formal literature review. These principles apply to real-world and synthetic data in AI and machine-learning contexts. Additionally, the data-centric AI paradigm is briefly examined, emphasizing its focus on data quality and the ethical development of AI solutions that integrate human-centered domain expertise. The ethical considerations specific to nursing are addressed, including 4 recommendations for future directions in nursing practice, research, and education and 2 hypothetical nurse-focused ethical case studies. The primary objectives are to position nurses to actively participate in AI and data ethics, thereby contributing to creating high-quality and relevant data for machine learning applications., (© Patricia A Ball Dunlap, Martin Michalowski. Originally published in JMIR Nursing (https://nursing.jmir.org).)