• Journal of Engineering Education Research
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• v.25 no.3
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• pp.35-44
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• 2022

Artificial intelligence is a core technology in the era of digital transformation, and as the technology level is advanced and used in various industries, its influence is growing in various fields, including social, ethical and legal issues. Therefore, it is time to raise social awareness on ethics of artificial intelligence as a prevention measure as well as improvement of laws and institutional systems related to artificial intelligence development. In this study, we analyzed unstructured data, typically text, such as online news articles and comments to confirm the degree of social awareness on ethics of artificial intelligence development. The analysis showed that the public intended to concentrate on specific issues such as "Human," "Robot," and "President" in 2018 to 2019, while the public has been interested in the use of personal information and gender conflics in 2020 to 2021.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.117-128
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• 2019

The remarkable achievements of the artificial intelligence in recent years are also raising awareness about its potential risks. Several governments and public organizations have been proposing the artificial intelligence ethics for sustainable development of artificial intelligence by minimizing potential risks. However, most existing proposals are focused on the developer-centered ethics, which is not sufficient for the comprehensive ethics required for ongoing intelligent information society. In addition, they have chosen a number of principles as the starting point of artificial intelligence ethics, so it is not easy to derive the guideline flexibly for a specific member reflecting its own situation. In this paper, we classify primitive members who need artificial intelligence ethics in intelligent information society into three : Developer, Supplier and User. We suggest a new artificial intelligence ethics, Seoul PACT, with minimal principles through publicness (P), accountability (A), controllability (C), and transparency (T). In addition, we provide 38 canonical guidelines based on these four principles, which are applicable to each primitive members. It is possible for a specific member to duplicate the roles of primitive members, so that the flexible derivation of the artificial intelligence ethics guidelines can be made according to the characteristics of the member reflecting its own situation. As an application example, in preparation for applying artificial intelligence to e-government service, we derive a full set of artificial intelligence ethics guideline from Seoul PACT, which can be adopted by the special member named Korean Government.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.29 no.3
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• pp.319-328
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• 2022

Purpose: This study investigated the relationship between artificial intelligence ethical awareness, bioethics awareness, and person-centered care of general hospital nurses. Methods: The participants were 192 nurses. Data were analyzed using descriptive statistics, t-test, analysis of variance, and Pearson's correlation coefficient with the SPSS program. Results: The average points for artificial intelligence ethical awareness, bioethics awareness, and person-centered care were 2.93, 2.77, and 3.50, respectively. Artificial intelligence ethical awareness and bioethics awareness had statistically significant negative relationships. Artificial intelligence ethical awareness, bioethics awareness, and person-centered care were not significantly correlated. Conclusion: Education, training, and organizational support are needed to improve artificial intelligence ethics awareness, bioethics awareness, and person-centered care for general hospital nurses.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.71-86
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• 2022

The purpose of this study is to develop and validate a scale to measure the ethical awareness of users who accept artificial intelligence technology or service. To this end, the constructs and properties of AI ethics were identified through literature analysis on AI ethics. Reliability and validity were assessed through a preliminary survey(N=273), after conducting an open-type survey to men and women(N=133) in 10s to 70s nationwide, extracting the first questions, and reviewing them by experts. The results of an online survey conducted on men and women(N=500) were refined by confirmatory factor analysis. Finally, an AI technology ethics scale was developed. The AI technology ethics awareness scale was developed with 16 questions in total of 4 factors (transparency, safety, fairness, accountability) so that general awareness of ethics related to AI technology can be measured by detailed factors. In addition, through follow-up research, it will be possible to reveal the relationship with measurement variables in various fields by using the ethical awareness scale of artificial intelligence technology.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.435-441
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• 2021

This study was performed to investigate the relations on nursing professionalism, consciousness of biomedical ethics and intrapersonal intelligence of nursing students. The study included 159 nursing students. Data collection period was from December 3, 2018 to December 7 (5 days). Nursing professionalism was 3.97 with low social awareness and consciousness of biomedical ethics was 2.95 with high right to life of newborn and organ transplantation but low artificial abortion and euthanasia. Intrapersonal intelligence was 3.79, which showed high self reflection and self-understanding but low self-planning. There was significant positive correlation between nursing professionalism and consciousness of biomedical ethics (r=.31, p<.001) and nursing professionalism and intrapersonal intelligence(r=.39, p<.001). Nursing professionalism showed a positive correlation with biomedical ethics and intrapersonal intelligence. As a result, the nursing education strategy for positive establishment of nursing professionalism of nursing college students needs to be provided with education to improve intrapersonal intelligence that can improve self-development and education that deals with the foundation of Nursing professionalism.

• Journal of Science Education
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• v.45 no.1
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• pp.105-117
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• 2021

The purpose of this study is to analyze the gender differences of elementary, junior high, and high school students in the artificial intelligence ethics awareness (hereinafter referred to as AIEA). This is a study to investigate whether there is a gender difference in the AIEA, and if so, when the gender difference will occur. This study was conducted with 198 elementary school students (98 female students, 100 male students), 265 middle school students (166 female students, 99 male students), and 114 high school students (58 female students and 56 male students) in I Metropolitan City. The results are as follows: First, a gender difference in the AIEA between all boys and girls was confirmed. Second, the gender difference in the AIEA tended to be solidified as the school age increased from elementary school to middle school and high school. Third, female students at all stages of elementary school, junior high school, and high school are not yet very reliable in artificial intelligence, and there is a greater concern about non-discrimination than boys. It turns out that they have a negative position on permission to enter the territory. Fourth, the interaction effects of school age and gender have been identified in 'stability and reliability,' and in 'permit and limit' categories. Taken together, these results show that an educational strategy that approaches the gender equality perspective of the educational program is necessary so that there will be no gender difference in the AIEA during artificial intelligence education activities.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.4
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• pp.371-380
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• 2023

Purpose: The purpose of this study is to determine the relationship between nursing students' biomedical and artificial intelligence (AI) ethical awareness, ethical values, professional self-concept, and ethical decision-making confidence, and to then identify factors that can influence their ethical decision-making confidence. Methods: This study employed a descriptive research method and was conducted from June 8 to 12, 2023, with 204 students from three nursing colleges in Korea. The collected data were analyzed by frequency and percentage, independent t-test, Pearson's correlation coefficient, and multiple regression using IBM SPSS 23.0. Results: The results of the multiple regression analysis showed that the regression model was significant (F=18.88, p<.001) and that professional self-concept (β=.46, p<.001), ethics education (β=.23, p<.001), AI ethical awareness (β=.16, p=.020), and relativistic ethical values (β=.14, p=.035) explained 34.6% of the nursing students' ethical decision-making confidence. Conclusion: It is necessary to include professional self-concept, AI ethical awareness, and ethical values contents when constructing the curriculums of educational programs in order to improve nursing students' ethical decision-making confidence.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.217-225
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• 2021

This study analyzed the perception formed by artificial intelligence users by converging technology readiness index and technology acceptance models and expanding them to models considering artificial intelligence ethics in order to find out the impact of technology acceptance and ethics. Independent variables include optimism, transparency, ethical awareness, user-centeredness, perceived usefulness and perceived ease of use as potential variables affected by independent variables, and defined the intention of use as potential variables as dependent variables. The survey results from an online and offline of men and women aged over 17 years old across the country (N=260) from September 5 to October 12, 2020 were used in the analysis. The findings, first, showed that optimism had a significant static effect on perceived usefulness and ease of use. Second, ethical awareness (transparency, ethical awareness, user-centeredness) did not have a significant impact on perceived usefulness and ease of use. Third, perceived usefulness and ease of use are finally found to have a significant static effect on the intention of use. Fourth, perceived usefulness has a relatively high influence over ease of use.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.311-322
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• 2024

This study is a scoping review to identify the research trend on the awareness and use of artificial intelligence in the nursing field in South Korea. The methodological framework of Arskey and O'Malley was used, and studies published from 2010 to 2023 were analyzed. A total of 20 studies were used in the final review, and most of the descriptive studies were published in academic journals. The most relevant variables in artificial intelligence research were related to clinical nursing, and the literature topics were artificial intelligence recognition and readiness for the use of artificial intelligence, nursing adaptation, and artificial intelligence-related nursing ethics. This study systematically analyzed the current status of artificial intelligence in the nursing field in Korea and suggested the direction of further research. This study propose follow-up research to develop the capacity to utilize artificial intelligence in Korea's nursing clinical and educational sectors and to support its effectiveness.