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2025 , Vol. 69 >Issue 2: 24 - 34

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.02.003

RESEARCH PAPERS

Artificial Intelligence and Trustworthiness in Intelligence Work and Its Empowerment Logical Framework

  • Bi Datian ,
  • Huang Weixin ,
  • Li Guangjian
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  • 1 School of Business and Management, Jilin University, Changchun 130012;
    2 Department of Information Management, Peking University, Beijing 100871
Bi Datian, professor, PhD, doctoral supervisor; Huang Weixin, doctoral candidate; Li Guangjian, professor, PhD, doctoral supervisor, corresponding author, E-mail: ligj@pku.edu.cn.

Received date: 2024-05-10

  Revised date: 2024-08-16

  Online published: 2025-01-25

Supported by

This work is supported by the key project of the National Social Science Fund of China,titled “Research on the Application of Key Technologies of Intelligence in the Context of Digital Transformation”(Grant No.23&ZD228).

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Abstract

[Purpose/Significance] In the context of digital intelligence transformation, this paper analyzes the trend and challenges of intelligence work, proposes a logical framework for empowering intelligence work with trustworthiness to provide a reference for the development of information science. [Method/Process] The paper analyzed the development of intelligence work under digital transformation from the perspective of the “information turn”. On this basis, it summarized the challenges encountered during intelligence collection, analysis, and service. It then clarified the trustworthiness standards for intelligence work and constructed an empowerment logic framework from three dimensions: thinking domain, management domain, and process domain. This framework was to enhance the trustworthiness of empowerment while ensuring its efficiency. [Result/Conclusion] By leveraging the combined efforts across various dimensions, including trustworthy thinking, trustworthy assessment, trustworthy disclosure, discrimination mechanisms, interpretative mechanisms, and adaptive mechanisms, it is helpful to effectively address the challenges of trustworthiness in intelligence work, such as the discernibility of intelligence collection, the explainability of intelligence analysis, and the self-adaptability of intelligence services, thereby aligning with the development of the “information credibility shift” “ information computation shift” and “information integration shift”. Moreover, future research should further address key issues in the construction of the trustworthiness empowerment logic framework, including the development of intelligence trust theory, the identification of trustworthy methods in intelligence, and the refinement of intelligence support mechanisms.

Key words： artificial intelligence; intelligence work; trustworthiness; empowerment logic

Cite this article

Bi Datian , Huang Weixin , Li Guangjian . Artificial Intelligence and Trustworthiness in Intelligence Work and Its Empowerment Logical Framework[J]. Library and Information Service, 2025 , 69(2) : 24 -34 . DOI: 10.13266/j.issn.0252-3116.2025.02.003

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