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arxiv:2506.16187

JETHICS: Japanese Ethics Understanding Evaluation Dataset

Published on Jun 19, 2025
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Abstract

A Japanese dataset named JETHICS with 78K examples evaluates AI ethics understanding across four ethics and political philosophy categories plus commonsense morality, showing that even GPT-4o and the best Japanese large language models achieve only moderate scores.

In this work, we propose JETHICS, a Japanese dataset for evaluating ethics understanding of AI models. JETHICS contains 78K examples and is built by following the construction methods of the existing English ETHICS dataset. It includes four categories based normative theories and concepts from ethics and political philosophy; and one representing commonsense morality. Our evaluation experiments on non-proprietary large language models (LLMs) and on GPT-4o reveal that even GPT-4o achieves only an average score of about 0.7, while the best-performing Japanese LLM attains around 0.5, indicating a relatively large room for improvement in current LLMs.

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