知识整合力、人才聚合力、品牌传播力：AI时代的智库“三力”建设Knowledge Integration, Talent Aggregation, and Brand Communication:Building Think Tank's “Three Capabilities” in the AI Era
徐宁,何亮
摘要(Abstract)：
[目的/意义]当前，人工智能技术正深刻重塑着信息处理、知识生产和决策咨询模式，对中国特色新型智库的建设和发展提出了新要求。本文旨在探讨AI时代下，智库如何从传统模式向平台化、智能化转型，以提升其咨政建言水平和更高维度能力。[方法/过程]本文立足智库研究与运营的实践场景，聚焦知识整合力、人才聚合力、品牌传播力这三大核心能力，系统性探讨了人工智能如何通过人机协同、技术应用、场景赋能等方式，助力智库“三力”建设。[结果/结论]研究发现，AI能显著扩展智库在知识获取与加工方面的范围、效率与维度；助力人才从“被动匹配”转向“智能协同”，实现精准画像与供需对接；并在政府、社会和国际层面，构建智能、交互、精准的全域传播体系。这为中国特色新型智库探索下一个十年的创新发展提供了新路径。
关键词(KeyWords)： 人工智能;智库;知识整合;人才聚合;品牌传播
基金项目(Foundation):
作者(Author): 徐宁,何亮
DOI: 10.19318/j.cnki.issn.2096-1634.2025.04.09
参考文献(References)：
- [1]杜志章，程聪瑞，王媛媛，等.中国特色新型智库建设这十年：回顾、反思与展望[J].决策与信息，2024(6):14-33.
- [2]XU R W,LIN B,YANG S J,et al.The Earth is flat because...:Investigating LLMs’ belief towards misinformation via persuasive conversation[C]// Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.Stroudsburg:ACL,2024:16259-16303.
- [3]DAYAN R,ULIEL B,KOPLEWITZ G.Age against the machine-susceptibility of large language models to cognitive impairment:Cross sectional analysis[J].BMJ,2024(387):e081948.
- [4]JIANG B W,HAO Z Q,CHO C M,et al.Know me,respond to me:Benchmarking LLMs for dynamic user profiling and personalized responses at scale[EB/OL].[2025-04-19].https://arxiv.org/pdf/2504.14225.
- [5]PURIFICATO E,BORATTO L,DE LUCA E W.User modeling and user profiling:A comprehensive survey[EB/OL].[2025-04-19].https://arxiv.org/pdf/2402.09660.
- [6]NIKZAD-KHASMAKHI N,BALAFAR M A,REZA FEIZI–DERAKHSHI M.The state-of-the-art in expert recommendation systems[J].Engineering Applications of Artificial Intelligence,2019(82):126-147.
- [7]NLLB Team.Scaling neural machine translation to 200 languages[J].Nature,2024(630):841-846.