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人工智能技术赋能情报工作的历程与当前思考

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本文系统探讨了人工智能技术的演进及其在情报工作中的应用,揭示了人工智能赋能情报工作在思想、特征、技术方法和场景应用上的新变化.从基于规则的范式到基于基础模型的阶段,人工智能技术为情报工作的智能化提供了新机遇,但同时也引发了伦理、法律、隐私等新挑战.本文指出了情报领域在新时期应该关注的问题和挑战,并提出了针对这些问题和挑战的对策,以期为情报领域的稳定发展提供有益的建议.
The Evolution and Contemporary Perspectives on the Empowerment of Intelli-gence by Artificial Intelligence Technology
This paper systematically explores the evolution and application of artificial intelligence(AI)technology in intelligence work,revealing its new developments in ideology,characteristics,technical meth-ods,and practical scenarios.Transitioning from a rule-based paradigm to the era of foundation model ap-proaches,AI presents significant opportunities for the intelligence field's enhancement in intelligence pro-cessing.However,it also introduces novel challenges related to ethics,legal considerations,and privacy concerns.The paper identifies issues and challenges that should be addressed by the intelligence community in the new era of intelligence.Furthermore,the paper proposes forward-thinking strategies to address these issues and challenges,providing valuable insights for the stable development of intelligence field.

Artificial intelligence technologyFoundation modelsDigital intelligence empowermentIn-telligenceApplication and challenges

李广建、潘佳立

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北京大学信息管理系,北京,100871

人工智能技术 基础模型 数智赋能 情报工作 应用挑战

国家社会科学基金重大项目国家社会科学基金

23&ZD228

2024

信息资源管理学报
中国高校科技期刊研究会,武汉大学

信息资源管理学报

CSSCICHSSCD
影响因子:0.885
ISSN:2095-2171
年,卷(期):2024.14(2)
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