The Impact of Artificial Intelligence on Art Research: An Analysis of Academic Productivity and Multidisciplinary Integration

Yang Ding

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arXiv · 2412.04850

The Impact of Artificial Intelligence on Art Research: An Analysis of Academic Productivity and Multidisciplinary Integration

Yang Ding

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Abstract

This study investigates the transformative impact of artificial intelligence on art research by analysing data from 749 art research projects and 555,982 non art research projects, as well as 23,999 journal articles. We utilized the SciBERT model for text analysis on research funding proposals and the econometric model to evaluate AI impact on the academic productivity and impact. Our findings reveal that AI has significantly reshaped the role of art across various disciplines. The integration of AI has led to a notable expansion in keyword networks, highlighting advancements in visual art creation, data driven methodologies, and interactive educational tools. AI has also facilitated the integration of art knowledge into nearly all research disciplines, contrasting with the traditionally confined distribution of art knowledge. Despite the substantial increase in publication impact and citation counts facilitated by AI, it has not markedly improved the likelihood of publishing in high-prestige journals. These insights illustrate the complex nature of AI's impact enhancing research impact while presenting challenges in publication efficiency and multidisciplinary integration. The study offers a nuanced understanding of AI's role in art research and suggests directions for addressing the ongoing challenges of integrating art and AI across disciplines.

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Yang Ding. 2024-12-06. The Impact of Artificial Intelligence on Art Research: An Analysis of Academic Productivity and Multidisciplinary Integration. https://arxiv.org/abs/2412.04850

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