Suggestions for Using AI in Preparation for a Super-Aging Society

Purpose: In modern society, the increase of the elderly population has become an important issue for every country. It is true that there is a difference in degree, but restrictions on physical activity in the elderly, deterioration of health, loneliness, economic poverty, and loss of social roles are challenges that we must continue to cope with. This study was conducted to find out what direction the use of AI and countermeasure strategies for the elderly should go in the face of a super-aging society. Method: To achieve this goal, this study investigated the online data of the Korean National Statistical Office s social survey, and confirmed the elderly issues in the age of super-aging by referring to the policy report on the increase of the elderly population and the diversification of social service needs, which was investigated by the Seoul Institute. Also, by identifying 30 academic research articles related to the elderly and AI provided by Korea Education & Research Information Service(KERIS), the contents judged to be consistent with the contents of this study were considered and used for analysis. Results: In the field of medical care for the elderly using AI, it could be seen as a process of changing the medical paradigm from disease diagnosis and cure centered to personalized care. In addition, the application of AI-based voice recognition system in the daily life of the elderly overcomes the vulnerability of the ability to use information technology, and can be a way to resolve the information imbalance by providing knowledge and information. However, it was confirmed that the reason for the low level of digital information among the elderly was limited and unfamiliar with adopting new technologies. Therefore, it is the time when new skill acquisition education is universally and easily required to improve the quality of life of the elderly. In particular, the protection measures related to the collection and use of personal information related to big data for the use of AI are as important as the use of AI, and should be carefully reviewed. Conclusion: This study was an opportunity to confirm that AI can be appropriately applied to various issues caused by the increase of the elderly population in the modern society facing a rapid aging. In the future, the utilization of AI is expected to expand further to public support services for the elderly.