农业图书情报学报 ›› 2024, Vol. 36 ›› Issue (8): 20-33.doi: 10.13998/j.cnki.issn1002-1248.24-0532

• AI素养专题 •    下一篇

知识工作者AI素养差距的AI技术弥补手段研究

王树义1, 曾雯1, 张为师2, 李俊洁1   

  1. 1. 天津师范大学 管理学院,天津 300387
    2. 天津师范大学 地理学部,天津 300387
  • 收稿日期:2024-07-11 出版日期:2024-08-05 发布日期:2024-12-13
  • 作者简介:

    王树义(1982- ),男,博士,副教授,研究方向为人工智能应用、复杂知识网络管理

    曾雯(2000- ),女,硕士研究生,研究方向为人工智能应用

    张为师(1985- ),女,博士,副教授,研究方向为数据驱动的环境管理、地理资源管理

    李俊洁(2002- ),女,硕士研究生,研究方向为人工智能应用

  • 基金资助:
    国家自科基金“数据驱动的居民低碳行为形成机理、扩散机制与助推策略研究”(72471173)

Addressing the Knowledge Worker AI Literacy Gap with AI Technology

Shuyi WANG1, Wen ZENG1, Weishi ZHANG2, Junjie LI1   

  1. 1. School of Management, Tianjin Normal University, Tianjin 300387
    2. School of Geography, Tianjin Normal University, Tianjin 300387
  • Received:2024-07-11 Online:2024-08-05 Published:2024-12-13

摘要:

[目的/意义] 在人工智能技术日益普及的背景下,知识工作者对AI的基本理解和应用评估能力,即AI素养,显得尤为重要。针对知识工作者AI素养存在着差距的现状,探讨如何利用AI技术本身来弥补这一缺口,缩短AI素养差距。 [方法/过程] 从认知、实践和评估3个维度,探讨了AI技术如何辅助提升AI素养。认知层研究AI代理如何提供个性化知识服务;实践层分析AI工具如何简化数据分析等任务;评估层讨论AI工具在验证信息真伪和“人在环中”模式的重要性。 [结果/结论] AI技术在缩短AI素养差距方面具有明显优势,AI代理能够根据用户需求提供定制化的知识讲解,AI工具能够自动化执行专业任务,提供事实性依据。这些应用不仅弥补了传统教育手段的不足,还为教育领域的创新提供了新的方向。随着AI技术的不断发展,其在AI素养提升方面的作用将更加显著,有助于构建一个更加智能和高效的信息环境。

关键词: 知识工作者, 人工智能, AI素养

Abstract:

[Purpose/Significance] With the proliferation of artificial intelligence (AI) technology, knowledge workers' basic understanding of AI and their ability to evaluate its application, known as AI literacy, is particularly important. This study addresses the current state of the AI literacy gap among knowledge workers and explores how AI technology itself can be used to bridge this gap, with the goal of shortening the AI literacy gap. The article analyzes the reasons for the existence of the AI gap in multiple dimensions and the need to bridge the AI gap. In today's era of proliferating AI tools, mastering the use of AI tools and improving AI literacy is the best assistant for knowledge workers. Learning to use AI tools can significantly improve the efficiency of information collection, processing, and storage, and greatly facilitate the building of information resources. [Method/Process] From the dimensions of cognition, practice, and assessment, the study explores how AI technology can assist in enhancing AI literacy. At the cognitive level, the research examines how AI agents can provide personalized knowledge services and help users build a systematic body of knowledge in a particular domain; at the practical level, it analyzes how AI tools can simplify professional tasks such as data analysis, and suggests how to improve knowledge workers' own ways and means of using AI tools through human-computer interaction and mastering effective AI problem-solving aids; at the assessment level, the application of AI tools in verifying the authenticity of information and the importance of the "human-in-the-loop" model in AI applications are discussed, emphasizing the need for human oversight. The article comprehensively draws on the excellent literature on AI, library intelligence, and learning literacy at home and abroad, and combines its own practical situation of using AI tools to achieve AI literacy, which helps knowledge workers establish basic cognition, practical operation ability, and evaluation of answer results. [Results/Conclusions] AI technology has significant advantages in closing the AI literacy gap. AI agents can provide customized knowledge explanation based on user needs, and AI tools can automate the execution of professional tasks and provide factual evidence. These applications not only compensate for the shortcomings of traditional educational methods but also offer new directions for innovation in the field of education. In presenting the arguments, the number of AI tools chosen is small, but fundamentally representative of the problem. Subsequent research will focus on improving AI literacy from other perspectives, and on ways and means to make knowledge workers more comfortable with AI tools. With the continuous development of AI technology, its role in enhancing AI literacy will become more pronounced, contributing to the construction of a more intelligent and efficient information environment.

Key words: knowledge workers, artificial intelligence, AI literacy

中图分类号:  G312,TP18

引用本文

王树义, 曾雯, 张为师, 李俊洁. 知识工作者AI素养差距的AI技术弥补手段研究[J]. 农业图书情报学报, 2024, 36(8): 20-33.

Shuyi WANG, Wen ZENG, Weishi ZHANG, Junjie LI. Addressing the Knowledge Worker AI Literacy Gap with AI Technology[J]. Journal of Library and Information Science in Agriculture, 2024, 36(8): 20-33.