生成式人工智能(AIGC)在科技情报研究工作中的应用 |
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引用本文: | 张颖岚,卢絮,董洁,李梦茹,刘宇. 生成式人工智能(AIGC)在科技情报研究工作中的应用[J]. 科技和产业, 2023, 23(24): 159-164 |
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作者姓名: | 张颖岚 卢絮 董洁 李梦茹 刘宇 |
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作者单位: | 北京市科学技术研究院 科技情报研究所,北京 100044 |
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摘 要: | 2022年,生成式人工智能(AIGC)开创了人工智能主导内容生成的时代,催生了全新的科技革命系统、格局和生态,迅速引发广泛关注。本文在论述AIGC技术的定义、应用场景、优势的基础上,从多源数据转化与挖掘、智能化研究与分析、多模态结果展示与决策支持三个方面客观分析AIGC技术在科技情报研究工作中的应用,分析AIGC技术对科技情报研究工作带来的潜在风险与挑战,并提出对策建议。
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关 键 词: | 科技情报研究 生成式人工智能 大数据 |
The Application of Artificial Intelligence Generated Content (AIGC) in Science and Technology Information Research |
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Abstract: | In 2022, Artificial Intelligence Generated Content (AIGC) ushers in an era of AI dominated content generation, spawns a new technological revolution system, pattern, and ecology, which quickly attracts widespread attention. Based on discussing the definition, applications, and advantages of AIGC technology, the application of AIGC technology in Science were objectively analyzed from three aspects of multi-source data transformation and mining, information research and analysis, multimodal results display and decision support, and analyzes the potential risks and challenges were analyzed that AIGC technology brought to science and technology information research. Finally, practical countermeasures and suggestions in conclusion are put forward. |
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Keywords: | science and technology information research artificial intelligence generated content big data |
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