인공지능산업과 디자인융합 연구

Abstract

A study on the design convergence in the AI industry is important. The method and purpose of this study are to present the direction of next generation of AI convergence design based on the important issues and alternatives by field obtained through the analysis of the characteristics, features and design convergence of AI industry.<BR> The study results are as follows:<BR> First, the AI industry is characterized by providing users with optimal customized services through high-quality automation of predictability (analytic work), maximization of excellence, maximization of hyper connectivity, and maximization of hyper-intelligence.<BR> Second, coexistence efforts on human safety and ethical issues, which are threat (risk) factors of the AI industry, are essential.<BR> Third, the AI industry focuses on: convergence of products and services, strengthening of service design activities, ‘service-oriented manufacturing model’, research and development of computing technology sources of a new paradigm centered on brain research, development of AI semiconductor R & D and material technology, convergence of manufacturing industry and service design related to strengthening open source platform.<BR> Fourth, the results of the analysis of specific AI design convergence cases, R & D, and professional human resource development in the finance, tourism, marketing, arts & culture (exhibition and performance) industry, education, and other industries showed that the challenges of emotions and feelings, such as humans, should be solved and further research is needed for the age of "superhuman intelligence" where AI and humans can coexist.<BR> It is expected that the alternatives for each of the important issues obtained from the study results will be used for establishing policy guidelines and detailed directions for the next generation of AI design convergence.