[1K3-GS-3a] Knowledge utilization and sharing

2:10 PM - 2:25 PM JST(5:10 AM - 5:25 AM UTC)

[1K3-GS-3a-03] Modeling Corporate Value Structure Using Bayesian Networks and Its Application in Generative AI

〇Shintaro Uesugi¹, Yoichi Motomura², Katsuyoshi Asada¹, Yuki Yamamoto¹, Ryosei Nishibe¹ (1. UACJ Corporation, 2. National Institute of Advanced Industrial Science and Technology)

Keywords:

Bayesian Networks,Value Structure,Generative AI

There is a growing need to visualize a company's value structure from the perspectives of marketing strategy formulation and internal value alignment. This study aims to uncover the essential values embedded within an organization by representing data on corporate values—collected through internal surveys—as a value structure model using Bayesian networks. Furthermore, we propose a framework for leveraging this value structure model to address challenges such as the frame problem in generative AI.