• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.539-544
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• 2024

This paper examines the necessity and direction of digital literacy education as university education in the AI era. Digital literacy can be considered universal education about everyday culture in a digital environment, and its scope is expanding to cultivate the competencies necessary for citizens of a digital society, rather than simply the ability to use digital devices. In this paper, the university liberal arts curriculum has strengthened the information literacy area to reflect the changes of the times, but it is presented as a problem that it is still focused on the technical aspects of learning how to use digital devices and specific programs. It was suggested that the direction of digital literacy education in universities should not be limited to the technical and instrumental aspects of using digital devices, but that it would be desirable to focus on digital ethics considering the social impacts that may arise from the use of digital devices.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.449-457
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• 2021

Ministry of education recently announced to implement AI curriculum in elementary, middle school and highschool from 2025 which will include programing, basic AI principal and AI Ethics, and the media is releasing articles that have reservations on it. This study is focused on analyzing the perspective of elementary teachers - who are going to be in charge of AI education - on the implementation of AI education in elementary schools and the teachers are divided into two groups of 'software-experienced' and 'software-inexperienced' in relation to software training background. The results showed that 100% of the 'software-experienced' teachers agreed on implementing AI education and 80% of 'software-inexperienced' teachers also showed positive perspective on it. Among the reasons that 20% of 'software-inexperienced' teachers had negative perspective on AI education, it was highly rated that existing home economics subject covers fulfilling amount of software education. Both 'software-experienced' and 'software-inexperienced' teachers chose grade 5 and 6 as the most appropriate age for software education and considered one class per a week as the most appropriate amount of AI class. In terms of the subject format, 75% of the 'software-experienced' teachers chose the idea that software education has to be an independent school subject which will include AI education. Also, 54% of the 'software-inexperienced' teachers chose the ideas either AI education should be an independent subject or software education should be an independent subject which will include AI education. The preference of the content of AI education appeared in order of basic AI programing, principles of AI and AI Ethics.

• Knowledge Management Research
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• v.24 no.3
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• pp.1-15
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• 2023

This paper examines research ethics in using the generative AI ChatGPT for research purposes. After reviewing traditional themes of research ethics and relevant principles, it will be argued to be inappropriate to discuss ChatGPT-related issues only from the perspective of permission, detection, and punishment. We need to consider the fundamental problem that the current rules pose concerning the way ChatGPT works. This leads to the proposal that the usage of ChatGPT should be clearly noted when it is used for research purposes and that some unresolved issues should be recognized. Although the advantages of ChatGPT cannot be denied, consensus on the appropriate scope of use is needed from perspectives of the research community and researcher's social responsibility. As generative artificial intelligence technologies are still in the early stages of development, researchers should pay attention to relevant research ethical issues, while not making hasty conclusions. In the conclusion, it will be also proposed to discuss and make a consensus regarding the definition of research that is premised on existing research ethics, but challenged with the advent of ChatGPT and AI technology.

• Smart Media Journal
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• v.11 no.6
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• pp.51-63
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• 2022

Metaverse provides a simulated environment where a large number of users can participate in various activities. In order for Metaverse to be sustainable, it is necessary to study ethics that can be applied to a Metaverse service platform. In this paper, Metaverse ethics and the rules for applying to the platform are explored. And, in order to judge the ethicality of avatar actions in social Metaverse, the identity, interaction, and relationship of an avatar are investigated. Then, an action-based audit approach to avatar interactions (e.g., dialogues, gestures, facial expressions) is introduced in two cases that an avatar enters a digital world and that an avatar requests the auditing to subjects, e.g., avatars controlled by human users, artificial intelligence (AI) avatars (e.g., as conversational bots), and virtual objects. Pseudocodes for performing the two cases in a system are presented and they are examined based on the description of the avatars' actions.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.93-101
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• 2021

The controversy over Artificial Intelligence (AI) chatbot "Iruda," which suspended its service 20 days after its launch, can be seen as the first case to inform the public of AI ethics issues. Based on this context, this study examines the controversy and social semantic formation of "Iruda" service cases using news topic modeling techniques. 963-news articles were used for the analysis, and the event's duration was analyzed based on major events, such as service start, controversy, and suspension, to understand the progress. From the analyses results, we obtain major keywords and a total of 16 topics (5, 4, 7) from the period. Finally, the implications for the development and utilization of AI services obtained through this controversy were discussed based on the analysis results.

• Clinical and Experimental Reproductive Medicine
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• v.51 no.1
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• pp.1-12
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• 2024

This review article discusses the integration of artificial intelligence (AI) in assisted reproductive technology and provides key concepts to consider when introducing AI systems into reproductive medicine practices. The article highlights the various applications of AI in reproductive medicine and discusses whether to use commercial or in-house AI systems. This review also provides criteria for implementing new AI systems in the laboratory and discusses the factors that should be considered when introducing AI in the laboratory, including the user interface, scalability, training, support, follow-up, cost, ethics, and data quality. The article emphasises the importance of ethical considerations, data quality, and continuous algorithm updates to ensure the accuracy and safety of AI systems.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.135-144
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• 2023

Artificial Intelligence (AI) is a prominent topic in almost every field. In Korea, Systems Engineering (SE) procedures are applied in Defense Acquisition, and it is anticipated that SE procedures will also be applied to systems incorporating AI capabilities. This study explores the applicability of the concepts "AI4SE (AI for SE)" and "SE4AI (SE for AI)," which have been proposed in the United States, to the Korean context. The research examines the feasibility of applying these concepts, identifies necessary tasks, and proposes implementation strategies. For the AI4SE, many attempts and studies applying AI to SE Processes both Requirements & Architectures Define, System implementation & V&V, and Sustainment. It needs Explainability and Security. For the SE4AI, the Functional AI implementation level, Quality & Security of the Data-set, AI Ethics, and Review policies are needed. Furthermore, it provides perspectives on how these two concepts should ultimately converge and suggests future directions for development.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.225-226
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• 2023

인공지능 기술이 사회 전반에 확산하며, 인공지능 윤리 문제 또한 큰 이슈가 되었다. 이에 따라 정부, 기업, 연구기관, 국제기구 등 다양한 단체에서 인공지능 기준안을 발표하고 있으나 이러한 인공지능 윤리 기준안을 발표하는 것으로 인공지능 윤리 문제를 해결할 수 없다. 이에 인공지능 윤리교육이 절실히 필요하다. 그러나 학교급에서의 인공지능 윤리교육을 위한 프로그램이 미흡하다. 이러한 상황에서 Moral machine은 인공지능을 위한 윤리교육 도구로 학교급을 막론하고 활발하게 사용되고 있다. 그러나 Moral machine의 딜레마 상황은 교육용으로 다소 부적절한 요소가 있다. 이에 본 연구에서는 인공지능 윤리교육에 적합한 인공지능 윤리 딜레마 문항을 사람이 중심이 되는 인공지능 기준의 3대 원칙을 바탕으로 개발하였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.9-22
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• 2023

In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1013-1018
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• 2021

Due to the recent accident caused by the automated vehicle, discussions on the ethical aspects of AI have been actively underway. This paper confirms that AI is inevitably connected to ethical components through the concepts and techniques related to robots-AI, and argues that ethical aspects are built-in, not post facto. Furthermore, this devises a solution to the trolley dilemma that can serve as a clue to ethical problems associated with automated vehicles. Preferentially, that process contains writing Bayesian networks. Next, only important and influential data are left after the pre-processing stage, and crowd-sourcing & extrapolation is used to calculate the exact figures of the networks. Through this process, this argues that humans' subjects are certainly included in implementing algorithms and models and discusses the necessity and direction of engineering liberal arts, especially education of ethics that distinguished from major education to prevent distortions and biases abouts AI systems.