Recent developments in artificial intelligence (AI) have led to a significant increase in\nthe use of AI technologies. Many experts are researching and developing AI technologies in their\nrespective fields, often submitting papers and patent applications as a result. In particular, owing\nto the characteristics of the patent system that is used to protect the exclusive rights to registered\ntechnology, patent documents contain detailed information on the developed technology. Therefore,\nin this study, we propose a statistical method for analyzing patent data on AI technology to improve\nour understanding of sustainable technology in the field of AI. We collect patent documents that\nare related to AI technology, and then analyze the patent data to identify sustainable AI technology.\nIn our analysis, we develop a statistical method that combines social network analysis and Bayesian\nmodeling. Based on the results of the proposed method, we provide a technological structure that\ncan be applied to understand the sustainability of AI technology. To show how the proposed method\ncan be applied to a practical problem, we apply the technological structure to a case study in order to\nanalyze sustainable AI technology.
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