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| Reflections on the Impact of Large Language Models on the Development of Information Science |
| Li Yang1,2, Sun Jianjun1,2 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing 210023 |
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Abstract The application of large language models represented by ChatGPT has a continuous profound impact on human society; different knowledge domains are “compressed” and “mapped” into successive large language models. The rise of large language models has given the information world a new form. The typical characteristics of the information world are manifested in three aspects: the massive production of artificial intelligence generated content; the rising status of machines; and the emergence of large language models as the new quality productivity engines. Information science has always exhibited a high degree of sensitivity to new technologies in line with the information world. The new form of the information world exerts a profound impact on the research issues, target tasks, theoretical systems, research paradigms, and visibility of the discipline. As a result, two different paths have emerged, namely, tool perspective and object perspective. The former involves intelligent information analysis and processing empowered by large language models and the construction and application of information large language models for diversified scenarios, whereas the latter covers topics such as good governance of artificial intelligence generated content in the context of the convergence of security and development and information users and behaviors in the era of large language models. Therefore, it is necessary to explore the academic environment, data infrastructure construction, and education and talent training to further support the development of large language models and the construction of disciplinary discourse systems.
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Received: 17 May 2024
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