• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.73-82
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• 2024

In 2017, the United Nations reported that the population aged 60 and above was increasing more rapidly than all younger age groups worldwide, projecting that by 2050, the population aged 60 and above would constitute at least 25% of the global population, excluding Africa. The world is experiencing a decline in the rate of increase in the working-age population due to global aging, and the younger generation tends to avoid difficult and challenging occupations. Although theoretically, AI equipped with artificial intelligence can replace humans in all fields, in the realm of practical information security, human judgment and expertise are absolutely essential, especially in ethical considerations. Therefore, this paper proposes a method to retrain and reintegrate IT professionals aged 50 and above who are retiring or seeking career transitions, aiming to bring them back into the industry. For this research, surveys were conducted with 21 government/public agencies representing demand and 9 security monitoring companies representing supply. Survey results indicated that both demand (90%) and supply (78%) unanimously agreed on the absolute necessity of such measures. If the results of this research are applied in the field, it could lead to the strategic development of senior information security professionals, laying the foundation for a new market in the Korean information security industry amid the era of low birth rates and longevity.

• (The)Study of the Eastern Classic
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• no.33
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• pp.31-56
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• 2008

Jang Hyeon-gwang(張顯光, 1554-1637), whose pseudonym or courtesy name is 'Yeoheon(旅軒)', had made a thorough study on the intrinsic nature of Neo-Confucianism in a more sincere fashion, when comparing him with other Neo-Confucianists in Joseon period. Also he was a renowned scholar who expanded its philosophical system in-depth. Yeoheon thereby had strengthened his philosophical system accordant with the Great Learning(大學) and Doctrine of the Mean(中庸), which are the fundamental systems of Neo-Confucianistic education. Based on such considerations, Yeoheon's thought on education can be illuminated from three different perspectives. First, Yeoheon deepened his a theory of good governance by a virtuous ruler(聖人君主論, pronounced, 'Seongingunjuron') as the standard of education. Essentially, his theory pursues Refraining from desire, and preserving the laws of nature(存天理?人欲, pronounced, 'Joncheolliarinnyok'), and put emphasis on ethical awakening, and the governance through a virtue of moral excellence. Second, Yeoheon stressed the learning theories related to 'sincerity' or true heart(誠) and 'piety' or 'respect'(敬)) as the form of education(誠敬, pronounced, 'Seonggyeong'). Also he expounded that people needs "to establish a ground of Respect and Sincerity in their mind." He recognized the differences between the two virtues, meanwhile, however, he understood it as in an identical context. Third, Yeoheon advocated harmony between separation and integration(分合, pronounced, 'Bunhap') as a method for education. Through his unique 'Discourse on Longitude and Latitude', dubbed, 'Li-Gi Gyeongwiseol (理氣經緯說) in which the principle(Li, 理) is equal to the intrinsic energy or material force(Gi, 氣), he maintained his view on the Doctrine of the Mean, in that he was not inclined to either sides according to the logic of Change(易, pronounced 'Yeok'). When reviewing Yeoheon's contemplation in education in the meaning of modern education, he laid the standards for education on the establishment of morality, and he also provides us with an idea which induces us to look through the form and method for education from the perspective of Doctrine of the Mean. In short, Yeoheon's view on education embodies wisdom of traditional Neo-Confucianistic Education having consistency, and it provides for an implication of the review of the importance of the balance in relation to methodological bias toward confusion in the standards for modern education, and unsystematic contents therein.

• The Korean Society of Law and Medicine
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• v.24 no.4
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• pp.67-101
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• 2023

The utilization of generative AI in the medical field is also being rapidly researched. Access to vast data sets reduces the time and energy spent in selecting information. However, as the effort put into content creation decreases, there is a greater likelihood of associated issues arising. For example, with generative AI, users must discern the accuracy of results themselves, as these AIs learn from data within a set period and generate outcomes. While the answers may appear plausible, their sources are often unclear, making it challenging to determine their veracity. Additionally, the possibility of presenting results from a biased or distorted perspective cannot be discounted at present on ethical grounds. Despite these concerns, the field of generative AI is continually advancing, with an increasing number of users leveraging it in various sectors, including biomedical and life sciences. This raises important legal considerations regarding who bears responsibility and to what extent for any damages caused by these high-performance AI algorithms. A general overview of issues with generative AI includes those discussed above, but another perspective arises from its fundamental nature as a large-scale language model ('LLM') AI. There is a civil law concern regarding "the memorization of training data within artificial neural networks and its subsequent reproduction". Medical data, by nature, often reflects personal characteristics of patients, potentially leading to issues such as the regeneration of personal information. The extensive application of generative AI in scenarios beyond traditional AI brings forth the possibility of legal challenges that cannot be ignored. Upon examining the technical characteristics of generative AI and focusing on legal issues, especially concerning the protection of personal information, it's evident that current laws regarding personal information protection, particularly in the context of health and medical data utilization, are inadequate. These laws provide processes for anonymizing and de-identification, specific personal information but fall short when generative AI is applied as software in medical devices. To address the functionalities of generative AI in clinical software, a reevaluation and adjustment of existing laws for the protection of personal information are imperative.