人工智能与风险治理研究:主题分野与走向展望
Artificial Intelligence and Risk Governance: Thematic Division and Future Outlook
摘要
【目的/意义】归纳并梳理中外人工智能与风险治理研究领域的主题分野与演进趋势,明确未来研究走向,为推动该领域理论深化与研究体系完善提供参考。【方法/过程】基于Web of Science核心合集与CNKI数据库,以人工智能与风险治理领域的5 560篇外文文献(1995—2025年)与1 964篇中文文献(2003—2025年)为数据样本,利用VOSviewer 1.6.20与Cytoscape 3.10.4软件进行科学知识图谱分析,明确总体发文趋势、核心研究领域、主题演化时序、研究特征差异、未来发展进路。【结果/结论】结果表明,外文文献的研究主题可划分为人工智能驱动下的不确定性系统风险治理、数字化转型风险治理、人身风险治理三大领域,在主题演进时序上遵循从分散到整合、从技术导向到治理导向的清晰路径;中文文献研究主题包括人工智能算法风险治理、人工智能战略风险治理、生成式人工智能应用风险治理,遵循“技术本体治理—技术规范治理—技术应用治理”的演化趋势。中外研究在研究导向、研究学科、研究对象、研究范式上存在显著差异。未来应强化可信AI应用、细化理性思维培育、深化学科交叉耦合、量化理论落地实证、优化国际合作共识等方面的研究。
Abstract
[Purpose/Significance] To summarize and sort out the thematic division and evolutionary trends in the field of artificial intelligence and risk governance research at home and abroad, clarify future research directions, and provide reference for promoting theoretical deepening and research system improvement in this field. [Method/Process] Based on the Web of Science core collection and CNKI database, 5560 foreign literature (1995-2025) and 1964 Chinese literature (2003-2025) in the field of artificial intelligence and risk governance were used as data samples. VOSviewer 1.6.20 and Cytoscape 3.10.4 software was used for scientific knowledge map analysis to clarify the overall publication trend, core research areas, thematic evolution time sequence, research feature differences, and future development path. [Result/Conclusion] The results indicate that the research topics of foreign literature can be divided into three major areas: uncertainty system risk governance driven by artificial intelligence, digital transformation risk governance driven by artificial intelligence, and personal risk governance driven by artificial intelligence. In terms of theme evolution, it follows a clear path from decentralization to integration, and from technology orientation to governance orientation. The research topics of Chinese literature include artificial intelligence algorithm risk governance, artificial intelligence strategic risk governance, and generative artificial intelligence application risk governance, following the evolutionary trend of "technology ontology governance - technology specification governance - technology application governance". There are significant differences in research orientation, research disciplines, research objects, and research paradigms between Chinese and foreign research. Future research should strengthen trustworthy AI applications, refine rational thinking cultivation, deepen interdisciplinary coupling, quantify theoretical implementation and empirical evidence, and optimize international cooperation consensus.
关键词
Key words
artificial intelligence / risk governance / thematic division / knowledge map
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