This paper elucidates and rationalizes the ethical governance system for healthcare AI research, as outlined in the ‘Research Ethics Guidelines for AI Researchers in Healthcare’ published by the South Korean government in August 2023. In developing the guidelines, a four-phase clinical trial process was expanded to six stages for healthcare AI research: preliminary ethics review (stage 1); creating datasets (stage 2); model development (stage 3); training, validation, and evaluation (stage 4); application (stage 5); and post-deployment monitoring (stage 6). Researchers identified (...) similarities between clinical trials and healthcare AI research, particularly in research subjects, management and regulations, and application of research results. In the step-by-step articulation of ethical requirements, this similarity benefits from a reliable and flexible use of existing research ethics governance resources, research management, and regulatory functions. In contrast to clinical trials, this procedural approach to healthcare AI research governance effectively highlights the distinct characteristics of healthcare AI research in research and development process, evaluation of results, and modifiability of findings. The model exhibits limitations, primarily in its reliance on self-regulation and lack of clear delineation of responsibilities. While formulated through multidisciplinary deliberations, its application in the research field remains untested. To overcome the limitations, the researchers’ ongoing efforts for educating AI researchers and public and the revision of the guidelines are expected to contribute to establish an ethical research governance framework for healthcare AI research in the South Korean context in the future. (shrink)

When making decisions, governments can and should strive consciously to balance the demands of the present with the needs of future generations. Various advocates for greater governmental foresight have created new processes or institutions within existing systems of democratic government. These include long-range planning departments, futures commissions, impact statements on proposed legislation, environmental protection agencies, and formal technology assessment. But, much more remains to be done. Based on their extensive scholarly and practical experience, the contributors to this volume propose a (...) variety of techniques that will enable foresight to be effectively incorporated into governmental institutions and practices. (shrink)

This descriptive study was undertaken to identify the degree of ethical sensitivity of staff nurses and to analyze the differences in ethical sensitivity in terms of both general and ethics-related characteristics. Participants were 236 staff nurses working in general hospitals in Korea. Ethical sensitivity was measured by means of an instrument developed by the researchers. The results showed that the mean score for the degree of ethical sensitivity was 0.71 out of a possible maximum score of 1 (range 0.30 to (...) 0.97). For general characteristics, there was a significant difference in ethical sensitivity according to age (F (df 2233)-3.99, P-0.02). For characteristics related to ethics, there was a significant difference in ethical sensitivity according to attitude towards the nursing profession (F (df 4231)-2.94, P-0.03). It is therefore recommended that a training program reflecting these variables be developed to enhance staff nurses’ ethical sensitivity. (shrink)

This Korean study replicated a previously published American study. The conceptual framework and method combined ethical enquiry and phenomenology. The research questions were: (1) What is nursing students’ experience of ethical problems involving nursing practice? and, (2) What is nursing students’ experience of using an ethical decision-making model? The participants were 97 senior baccalaureate nursing students, each of whom described one ethical problem and chose to use one of five ethical decision-making models. From 97 ethical problems, five content categories emerged, (...) the largest being health professionals (69%). The basic nature of the ethical problems was the students’ experience of conflict, resolution and rationale. Using an ethical decision-making model helped 94% of the students. A comparison of the Korean and American results yields important implications for nursing ethics education, practice and research. (shrink)

1. Kō to shi no shisōshi -- 2. Kō to shi no shakai kagaku -- 3. Nihon ni okeru kō to shi -- 4. Ō-Bei ni okeru kō to shi -- 5. Kokka to ningen to kōkyōsei -- 6. Keizai kara mita kōshi mondai -- 7. Chūkan shūdan ga hiraku kōkyōsei -- 8. Kagaku gijutsu to kōkyōsei -- 9. chikyū kankyō to kōkyōsei -- 10. 21-seiki kōkyō tetsugaku no chihei -- 14. Rīdāshippu kara kangaeru kōkyōsei.