On AI-empowered Research, Dissemination, and Evaluation in the Field of Philosophy and Social Science
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SU Xin-ning,
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HE Yi-min,
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YANG Hong-yan,
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ZHOU Wei-dong,
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XU Ji-min,
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LIU Ming,
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PENG Guo-li,
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WANG Zhu,
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XU Liang,
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HAN Pu,
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JIANG Xun,
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HU Lin,
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XIA Wan-jun,
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ZHOU Pei,
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LI Xi-chen,
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XIAO Lei,
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HAN Yi,
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WANG Dan,
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TANG Pu,
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LIU Xuan
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Graphical Abstract
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Abstract
Artificial intelligence (AI) is profoundly reshaping human society, enhancing cultural experiences, driving scientific and technological advancements, and acting as a catalyst for the "new quality" of various industries. AI offers efficient tools and research settings for the philosophy and social sciences, deeply influencing academic research, dissemination, and evaluation. The accelerated integration of AI into academic research, knowledge dissemination, and evaluation is essential to improving research efficiency, fostering innovation, and building an independent knowledge system within philosophy and social sciences. These goals represent key missions for scholars in these fields today. To advance the role of AI in philosophy and social sciences (AI4SS), the Tianfu Forum on AI-empowered Social Science Research and Evaluation was held on September 28, 2024, at Xihua University. The event was co-hosted by Xihua University and the Association of Sichuan Social Science Journals, and was organized by the Department of Academic Journal of Xihua University and the Research Center of Sichuan Academic Achievements Analysis and Application. At the forum, 20 experts from Nanjing University, Renmin University of China, Sichuan University came together to discuss how AI can empower research, dissemination, and evaluation in the philosophy and social sciences. These scholars, representing a variety of disciplines, engaged in in-depth discussions on numerous topics, such as the transformation of research methods in humanities and social sciences through AI, the application of AI in fields like law, education, economics, library and information science, and journalism, the ethical implications of AI-assisted research, AI's role in medical health, risk monitoring in bulk commodity prices, the development of critical thinking in university students, AI-enhanced academic journal publishing, and new AI-driven models and platforms for the evaluation of philosophy and social sciences. These discussions highlighted a new era of interdisciplinary integration and innovation, driven by AI technology, signaling exciting advancements and opportunities in these academic fields.
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