All Articles

  • Purpose: The purpose of this study is to propose that the virtue education method can be utilized in the process of learning to have ethics as an Artificial Moral Agent(AMA). Recent various discussions about AI presuppose the coexistence of humans and AI. Meanwhile, in order for coexistence to be achieved, it is fundamentally necessary for humans as individual beings to form relationships with others in an appropriate way. This study focused on the use of the virtue education method among the methods for AI to learn the order of relationships as an AMA that becomes the counterpart of human ethical behavior in the interaction between humans and AI. Method: This study presented basic data using the method of literature research. And based on this, a virtue education method that can be applied to AMA was developed and presented using the method of development research. With this, This research tried to argue about the necessity and validity of the virtue education method. Results: This study examines that the current discussion on ethical learning in AMA is mainly based on a Top-down approach based on traditional ethical theory. And as an alternative to this, it is suggested that machine learning and deep learning methods can be used as a method for AMA to learn ethics. Based on this, the characteristics and validity of virtue ethics applicable to AMA were presented. And as a method to learn it, a teaching and learning method applicable to the learning of AMA was proposed. Conclusion: Currently, the approach to preparing ethics for AMA tends to mainly choose a Top-down approach in which a specific ethical theory is selected and the design of a computational algorithm and system that can implement the theory is derived. However, just as children develop moral reasoning through appropriate developmental stages, AMA also needs to actively introduce a bottom-up approach to forming ethical judgment principles. As a specific method, we propose to use the method of grafting the virtue education method of analyzing the characteristics of a virtuous person and repeating it by imitating it to the deep learning method of AI.
    Keyword:Artificial Moral Agents(AMA), AI, Ethics, Deep Learning, Teaching and Learning Method
  • Purpose: This study aims to analyze the relationship between the characteristics of YouTube beauty content and the intention to purchase cosmetics for men and women from 20 to 40 years old. In particular, it aims to present how to utilize YouTube beauty content by gender by analyzing the mediating effect of beauty content involvement centered on male-female comparisons and studying how to use big data in popular videos. Method: This study was conducted in 17 cities and provinces nationwide with 201 men and 201 women from 20 to 40 years old using SPSS 25.0 as an empirical analysis method for 402 copies of the online questionnaire. In order to verify the mediating effect, it was re-verified through regression analysis and Sobel-test according to the mediated effect verification procedure proposed by Baron & Kenny(1986). Results: In Question 1, the characteristics of YouTube beauty contents show a significant positive(+) effect on the purchase intention of cosmetics; in Question 2, the characteristics of YouTube beauty content were found to have a significant positive influence on beauty content; while in Question 3, the path that influenced the purchase intention of cosmetics by mediating the degree of involvement in beauty contents was revealed in part; and finally, in Question 4, gender differences were revealed. Conclusion: It was found that the characteristics of YouTube beauty content and the degree of involvement have a positive effect on the consumer's intention to purchase cosmetics, and there are gender differences. In particular, entertainment and information had the greatest influence on YouTube beauty content characteristics and beauty content involvement. Therefore, to use YouTube as a marketing method in the future, it will be necessary to target male and female YouTube beauty content viewers based on big data and create beauty content that provides both interest and information at the same time.
    Keyword:YouTube Content, Intention to Purchase Cosmetics, Beauty Content Involvement, Entertainment, Big Data
  • Purpose: In recent years, AI technology has emerged as a core technology for the fourth industrial revolution. Along with the existing SW education, it is time to prepare for AI education, since the interest in AI education is also growing. The fact that learning about the theory and principles of AI is important is also stressed in the college education. However, non-major students tend to perceive AI technology to be difficult, and hence, a more efficient AI education is required. The purpose of this research is to guide the learners' direction for AI education, helping them to break away from their fears of AI through the AI education appropriate for the learners’ level. Method: In this study, to analyze the effect of the developed educational program on the learners’ AI literacy, the dependent variables changed before and after the application of the program were analyzed, and the single group’s ex ante and ex post testings were applied for the designing method for inferring the causal relationship. Results: The AI literacy of undergraduate students was analyzed for the educational program via the ex ante and ex posts testings of a single group by operating this program. As a result of the analysis, significant results were obtained where all three areas of the AI literacy were improved through the educational program Conclusion: This study is meaningful in that the AI educational program was proposed for the liberal arts class at college for the non-majors, and that the AI educational program which is generally applicable for the liberal arts class was developed and directly applied to validate its effectiveness. Discussions are expected to continue to develop the various details of the AI basic education to ensure that the non-majors can enter the AI education without fearing the AI based on the results of this study.
    Keyword:Artificial Intelligence, AI Education, Education Model, AI Literacy, Artificial Intelligence Ethics
  • Purpose: This article explores the most likely impacts of Artificial Intelligence(AI) on the character of future warfare, focuses on how AI will change just about the way we fight in the battlefield, analyzes the current status and problems of AI applications in the ROK military, and then suggests several policy alternatives with regard to future development of the ROK military’s war-fighting capabilities with AI and autonomous systems (i.e., robots). Method: This article uses a literature review method that collects and analyzes data through existing research results or literatures. In order to understand the research trends of AI-driven warfare, professional military papers related to future operational concepts and doctrines are analyzed. In addition, data published by the Army, Navy, and Air Force Headquarters is referenced for the current state and problems of AI application of the ROK military. In particular, the latest data is mainly reflected in order not to miss important issues related to the rapidly changing military application of AI. Results: AI-driven future warfare will have three broad trends, that is, the acceleration of multi-domain battle, the generalization of cognitive-centered operations, and the Acceleration of Human-machine Fusion and increased ambiguity of blurring distinction between combatants and non-combatants. AI applications in the ROK military, however, is somewhat behind advanced countries, and currently stays at the conceptual level and exists mostly on paper. It still does not act to convert AI technology for military use, and not adapt it for operational concepts and acquisition process of weapons systems. For this reason, the ROK military needs to actively pursue various AI technology development strategies that can be used in conducting complex war-fighting within the full spectrum of conflicts. Conclusion: The ROK military needs to discard ineffective legacy weapons systems and prioritize investment in advanced technologies including AI, and streamline its cumbersome weapons acquisition and sustainment process and procedure as a means to win the AI race with other countries. With AI, the ROK military will be able to create more agile, flexible and lethal war-fighting capabilities in strategic, operational, and tactical dimensions.
    Keyword:Artificial Intelligence(AI), Weapons Systems, Future Warfare, Operations, ROK Military
  • Purpose: South Korea's foreign policy executives need to make security policy choices about China's AI as a security threat with normative nature. The purpose of this article is to identify the ideas of the South Korean security policy executives and to analyze the role of the policy elites’ perception in foreign policymaking about China's artificial intelligence as a newly emerging security challenge. Together with this, it is approached to evaluate the strategic perception of Moon Jae-in's foreign policy executive in connection with China’s artificial intelligence. Method: The article examines the document and speech of the foreign policymakers of Korea and China as well as the media coverage of the two countries by utilizing Kitchen’s neoclassical realism with a focus on the elites’ perception as an intervening variable, international systemic pressure as an independent variable, and foreign policy outcome as a dependent variable. Chapter 2 reviews the strategic culture of a middle power. Chapter 3 finds China’s AI strategy as a systemic threat. Chapter 4 explores the former Korean governments’ strategic ideas for China. Chapter 5 finds Moon Jae-in government’s idea of the China AI strategy. Results: The article reveals the nature of China’s AI, the role of Korea’s strategic culture, and the capacity of policy elites to emerging security. First, China's AI has the nature of systemic pressure. Second, the foreign policy executives of Korea differently respond to China’s systemic pressure. Third, the Moon Jae-in government’s policy elites have autonomous power against the international systemic pressure and consider the economic interest as important. Conclusion: This article concluded that the foreign policy elites’ perception intervenes between the international systemic pressure and state foreign policy-making. The elites induce the discussion of AI from the view of middle power multilateralism rather than that of AI from the view of ethical and geopolitical context. The article also says that Korea's foreign policy elites can operationalize the ideas in considering the balance of interest with China.
    Keyword:AI Strategy, Emerging Security Challenge, Systemic Pressure, Strategic Culture, Middle Power