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arXiv · 2608.20674

Analysis of Potential Generative AI Use in Abstracts of KAKENHI-Funded Projects

Hitoshi Koshiba·Miki Ida-Kimura
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Abstract

This study analyzes the extent to which abstracts of projects funded under the Scientific Research (C) category of the Grants-in-Aid for Scientific Research (KAKENHI) were classified as AI-generated. The analysis covers projects funded over the five-year period from FY2022 to FY2026. The number of abstracts classified as AI-generated began to increase in FY2025, and approximately 20% of the abstracts were classified as AI-generated in FY2026. Although the proportions varied to some extent, abstracts classified as AI-generated were observed in many review categories. These findings indicate that the use of generative AI has begun to spread across many research fields represented in Scientific Research (C).

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Hitoshi Koshiba, Miki Ida-Kimura. 2026-08-21. Analysis of Potential Generative AI Use in Abstracts of KAKENHI-Funded Projects. https://arxiv.org/abs/2608.20674

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