Contextualizing AI Agent Evaluation: Proposed Framework for Japanese Businesses

Evaluation is a crucial step in ensuring the quality, safety, and security of Artificial Intelligence agents. However, evaluation frameworks are often generic and fails to consider cultural contexts and nuances such as in Japan. This research addresses this limitation by proposing a “Culturally Attuned Framework for AI Agent Evaluation” tailored for Japanese business environments. The research methodology involved three key steps: (1) establishing a baseline by combining IBM's consolidated AI evaluation categories and Japan's AI Safety Institute (AISI) principles, (2) identifying and analyzing Japanese cultural business philosophies through scoping literature review, and (3) integrating the identified Japanese philosophies such as Kaizen (continuous improvement), Hinshitsu (holistic quality), and Shinrai (relational trust) into the baseline. The resulting framework will provide a contextaware evaluation framework which combines Japanese business culture with the accepted technical and ethical standards for AI. The implications for Japanese businesses and AI developers and designers as well as future directions were discussed.