图书情报工作

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2025 , Vol. 69 >Issue 3: 37 - 46

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.03.004

研究论文

AIGC失范表现与治理机制研究

  • 储节旺 ,
  • 周艳 ,
  • 罗怡帆
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  • 安徽大学管理学院 合肥 230601
储节旺，教授，博士，博士生导师；周艳，硕士研究生，通信作者，E-mail： 17356263980@163.com；罗怡帆，硕士研究生。

收稿日期: 2024-05-13

  修回日期: 2024-08-27

  网络出版日期: 2025-02-11

基金资助

本文系国家社会科学基金一般项目“数智创新生态系统知识生成动力、扩散逻辑与治理机制研究”（项目编号：23BTQ055）研究成果之一。

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Research on the Misconduct Behaviors and Governance Mechanisms of AIGC

  • Chu Jiewang ,
  • Zhou Yan ,
  • Luo Yifan
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  • School of Management, Anhui University, Hefei 230601

Received date: 2024-05-13

  Revised date: 2024-08-27

  Online published: 2025-02-11

Supported by

This work is supported by the general project of National Social Science Fund of China, titled “Study on the Dynamics of Knowledge Generation, Diffusion Logic, and Governance Mechanisms in the Digital Innovation Ecosystem” (Grant No. 23BTQ055).

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摘要

[目的/意义] 随着人工智能生成内容的快速发展，认识AI生成内容过程中存在的失范行为，为AIGC得到有效治理、营造健康和安全的AIGC发展环境提供理论参考。[方法/过程] 通过制定AIGC质量规范，分析AI生成内容具体的失范表现，并以WSR系统方法论为研究理论基础，构建AIGC失范治理机制。[结果/结论] 从数据、表达、伦理、法律4个维度阐述AIGC的失范表现；并基于WSR系统方法论从物理、事理、人理3个维度提出AIGC失范表现的治理路径，构建集数据、算法、技术、审核、监管、法律法规于一体的多主体协同治理机制，为相关部门制定人工智能治理措施提供参考。

关键词： AIGC; 质量规范; 治理机制; WSR系统方法论

本文引用格式

储节旺 , 周艳 , 罗怡帆 . AIGC失范表现与治理机制研究[J]. 图书情报工作, 2025 , 69(3) : 37 -46 . DOI: 10.13266/j.issn.0252-3116.2025.03.004

Abstract

[Purpose/Significance] With the rapid development of artificial intelligence generated content (AIGC), it is necessary to recognize the misconduct behaviors that exist in the process of AI-generated content. This paper aims to provide a theoretical reference for effective AIGC governance and create a healthy and safe development environment. [Method/Process] By establishing AIGC quality standards, this study analyzed specific misconduct behaviors in AI-generated content and constructed a governance mechanism for AIGC misconduct based on the WSR system methodology. [Result/Conclusion] This paper describes AIGC misconduct behaviors from four dimensions: data, expression, ethics, and law. Then it proposes a governance path for AIGC misconduct based on the WSR system methodology from the perspective of Wuli, Shili and Renli. It constructs a multi-agent synergistic governance mechanism integrating data, algorithms, technology, auditing, supervision, laws, and regulations, providing a reference for relevant departments to develop AI governance measures.

Key words： AIGC; quality standards; governance mechanisms; WSR system methodology

参考文献

[1] 沈愷, 童潇潇, 于典, 等. 生成式AI在中国:2万亿美元的经 济价 值[EB/OL]. [2024-10-25]. https://www.mckinsey.com.cn/. (SHEN K, TONG X X, YU D, et al. Generative AI in China: $20 trillion economic value[EB/OL]. [2024-10-25]. https://www.mckinsey.com.cn/.)
[2] 中华人民共和国中央人民政府. 生成式人工智能服务管理暂行办法[EB/OL]. [2024-10-25]. https://www.gov.cn/zhengce/zhengceku/202307/content_6891752.htm. (The State Council of the People’s Republic of China. Request publiccomments on the measures for the administration of generative artificial intelligence services[EB/OL]. [2024-10-25]. https://www.gov.cn/zhengce/zhengceku/202307/content_6891752.htm.)
[3] 中国 信息 通信 研究 院. 人工 智能 生成 内容（AIGC） 白皮 书[EB/OL]. [2024-10-25]. http://www.caict.ac.cn/kxyj/qwfb/bps/202209/t20220902_408420.htm. (China Academy of Information and Communications Technology. AI generated content(AIGC) white paper[EB/OL]. [2024-10-25]. http://www.caict.ac.cn/kxyj/qwfb/bps/202209/t20220902_408420.htm.)
[4] 李白杨, 白云, 詹希旎, 等. 人工智能生成内容（AIGC） 的技术特征与形态演进[J]. 图书情报知识, 2023, 40(1): 66-74. (LI B Y, BAI Y, ZHAN X N, et al. The technical features and aromorphosis of artificial intelligence generated content(AIGC) [J]. Documentation, information & knowledge, 2023, 40(1): 66-74.)
[5] 詹希旎, 李白杨, 孙建军. 数智融合环境下AIGC的场景化应用与发展机遇[J]. 图书情报知识, 2023, 40(1): 75-85, 55. (ZHAN X N, LI B Y, SUN J J. Application scenarios and development opportunities of AIGC in the digital intelligence integration environment[J]. Documentation, information & knowledge, 2023, 40(1): 75-85, 55.)
[6] 郭亚军, 郭一若, 李帅, 等. ChatGPT赋能图书馆智慧服务：特征、场景与路径[J]. 图书馆建设, 2023(2): 30-39, 78. (GUO Y J, GUO Y R, LI S, et al. ChatGPT empowers library smart service: characteristics, scenarios and realization paths[J].Library development, 2023(2): 30-39, 78.)
[7] 陈建兵, 王明. 负责任的人工智能: 技术伦理危机下AIGC的治理基点[J]. 西安交通大学学报(社会科学版), 2024, 44(1): 111-120. (CHEN J B, WANG M. Responsible artificial intelligence: governance fundamentals for AIGC in the ethical crisis of technology[J]. Journal of Xi’an Jiao Tong University (social sciences), 2024, 44(1): 111-120.)
[8] 陈英 达, 王伟. 由“ 急用 先行 ” 走向 “ 逐步 完善 ”: 生成 式人工智能治理体系的构建[J]. 电子政务, 2024(4): 113-124. (CHEN Y D, WANG W. From “urgent use first” to “gradual improvement”: the construction of generative artificial intelligence governance system[J]. E-government, 2024(4): 113-124.)
[9] CHAN C K Y. Acomprehensive AI policy education framework for university teaching and learning[EB/OL]. [2024-10-25]. https://arxiv.org/abs/2305.00280.
[10] 朱禹, 陈关泽, 陆泳溶, 等. 生成式人工智能治理行动框架: 基于AIGC事故报道文本的内容分析[J]. 图书情报知识, 2023, 40(4): 41-51. (ZHU Y, CHEN G Z, LU Y R, et al. Generative artificial intelligence governance action framework: content analysis based on AIGC incident report texts[J]. Documentation, information & knowledge, 2023, 40(4): 41-51.)
[11] 梁怀新, 宋诚. AIGC时代的网络信息内容生态安全风险及其治理——兼以ChatGPT为对象的实验访谈案例分析[J]. 图书情报工作, 2023, 67(20): 58-69. (LIANG H X, SONG C. Ecological security risk and governance of network information content in AIGC era: take ChatGPT as an example[J]. Library and information service, 2023, 67(20): 58-69.)
[12] 漆晨航. 生成式人工智能的虚假信息风险特征及其治理路 径[J]. 情报 理论 与实 践, 2024, 47(3): 112-120. (QI C H. Research on the risks of disinformation from generative artificial intelligence and its governance paths[J]. Information studies: theory & application, 2024, 47(3): 112-120.)
[13] 刘鑫. 人工智能自主发明的伦理挑战与治理对策[J]. 大连理 工大 学学 报(社会 科学 版), 2023, 44(4): 80-85. (LIU X. On the countermeasures for the ethical challenges of artificial intelligence independent invention[J]. Journal of Dalian University of Technology(social sciences), 2023, 44(4): 80-85.)
[14] 谢梅, 王世龙. ChatGPT出圈后人工智能生成内容的风险类型及其治理[J]. 新闻界, 2023(8): 51-60. (XIE M, WANG S L. Risk types and governance of artificial intelligence generated content after ChatGPT’s explosive trending[J]. Journalism and masscommunication, 2023(8): 51-60.)
[15] CHENG L, LIU X L. From principles to practices: the intertextual interaction between AI ethical and legal discourses[J]. International journal of legal discourse, 2023, 8(1): 31-52.
[16] 谭佐财. ChatGPT的法律风险与治理路径[J]. 湖南科技大学学报(社会科学版), 2023, 26(3): 117-125. (TAN Z C. Legal risks and governance paths of ChatGPT[J]. Journal of Hunan University of Science and Technology (social science edition), 2023, 26(3): 117-125.)
[17] 邵红红. 生成式人工智能版权侵权治理研究[J]. 出版发行 研究, 2023(6): 29-38. (SHAO H H. Research on copyright infringement governance of generative artificial intelligence[J]. Publishing research, 2023(6): 29-38.)
[18] 刘亚丽, 范逢春. ChatGPT-AIGC用户风险感知维度识别与治理研究——基于扎根理论的探索性分析[J]. 情报理论与实践, 2024, 47(3): 121-129. (LIU Y L, FAN F C. ChatGPT-AIGC users risk perception dimension identification and management research: an exploratory analysis based on grounded theory[J]. Information studies: theory & application, 2024, 47(3): 121-129.)
[19] 顾基发, 唐锡晋, 朱正祥. 物理-事理-人理系统方法论综述[J]. 交通运输系统工程与信息, 2007(6): 51-60. (GU J F, TANG X J, ZHU Z X. Survey on Wuli-Shili-Renli system approach[J]. Journal of transportation systems engineering and information technology, 2007(6): 51-60.)
[20] 毛紫君, 赵国杰, 王海峰, 等.WSR方法论三条生成路径发现与比较研究[J]. 管理评论, 2021, 33(5): 44-56. (MAO Z J, ZHAO G J, WANG H F, et al. The discovery andcomparison of three generation paths of WSR methodology[J]. Management review, 2021, 33(5): 44-56.)
[21] 中华人民共和国中央人民政府. 全球人工智能治理倡议[EB/OL]. [2024-10-25]. https://www.cac.gov.cn/2023-10/18/c_1699291032884978.htm. (The State Council of the People’s Republic of China. Global AI governance initiative[EB/OL]. [2024-10-25]. https://www.cac.gov.cn/2023-10/18/c_1699291032884978.htm.)
[22] OpenAI. Model spec[EB/OL]. [2024-10-10]. https://cdn.openai.com/spec/model-spec-2024-05-08.html.
[23] 查先进, 陈明红. 信息资源质量评估研究[J]. 中国图书馆学报, 2010, 36(2): 46-55. (ZHA X J, CHEN M H. Research on quality assessment of information resources[J]. Journal of library science in China, 2010, 36(2): 46-55.)
[24] 梁少博. 面向“以人为本”的生成式人工智能：挑战与路径[J]. 图书馆建设, 2023(4): 19-21. (LIANG S B. “Human-centered” generative artificial intelligence: challenges and pathways[J]. Library development, 2023(4): 19-21.)
[25] 宋信强, 刘明杰, 陈家和. GPT-4影响的全面分析：经济高质量发展与国家安全防范[J]. 广东财经大学学报, 2023, 38(2): 100-112. (SONG X Q, LIU M J, CHEN J H. Comprehensive impact analysis of GPT-4: high-quality economic development and national security prevention[J]. Journal of Guangdong University of Finance & Economics, 2023, 38(2): 100-112.)
[26] 郑雨航. OpenAI入局AI搜索SearchGPT演示中“ 翻车”[N]. 每日经济新闻, 2024-10-31(6). (ZHENG Y H. OpenAI enters AI search, SearchGPT demo “flips” [N]. National business daily, 2024-10-31(6).)
[27] 莫祖英, 盘大清, 刘欢, 等. 信息质量视角下AIGC虚假信息问题及根源分析[J]. 图书情报知识, 2023, 40(4): 32-40. (MO Z Y, PAN D Q, LIU H, et al. Analysis on AIGC false information problem and root cause from the perspective of information quality[J]. Documentation, information & knowledge, 2023, 40(4): 32-40.)
[28] 金雪涛, 周也馨. 从ChatGPT火爆看智能生成内容的风险及治理[J]. 编辑之友, 2023(11): 29-35. (JIN X T, ZHOU Y X. The risk and governance of intelligent generated content from the popularity of ChatGPT[J]. Editorial friend, 2023(11): 29-35.)
[29] LIU Q H, ZHOU Y Y, HUANG J H, et al. When ChatGPT is gone: creativity reverts and homogeneity persists[EB/OL]. [2024-10-25]. https://arxiv.org/abs/2401.06816.
[30] 联合国.教科文组织报告敲响警钟:生成式人工智能加 剧性别偏见[EB/OL].[2024-10-15]. https://news.un.org/zh/story/2024/03/1127197.(The United Nations. UNESCO report sounds the alarm:generative artificial intelligence exacerbatesgender bias[EB/OL].[2024-10-15]. https://news.un.org/zh/story/2024/03/1127197.)
[31] 曾润喜,秦维.人工智能生成内容的认知风险:形成机理 与治理[J].出版发行研究, 2023(8):56-63.(ZENG R X, QIN W. Cognitive risk of artificial intelligence-generated content: formation mechanism and governance[J]. Publishing research, 2023(8):56-63.)
[32] 王少.机遇与挑战:AIGC赋能新时代思想政治教育[J].教 学与研究, 2023(5):106-116.(WANG S. Opportunities and challenges:AIGC empowers ideological and political education in the new era[J]. Teaching and research, 2023(5):106-116.)
[33] 周红磊,张海涛,张春龙,等. WSR系统方法论视角下突 发事件网络舆情的风险治理机制研究[J].情报理论与实践, 2022, 45(12):22-30.(ZHOU H L, ZHANG H T, ZHANG C L, et al. Research on risk governance mechanism of internet public opinion of emergencies from the perspective of Wuli-Shili-Renli system approach[J]. Information studies:theory&application, 2022, 45(12):22-30.)
[34] YULIIA K. From data to dialogue:data annotation for training AI chatbots like ChatGPT[EB/OL].[2024-10-19]. https://labelyourdata.com/articles/data-annotation-for-training-chatgpt.
[35] 马海群,张涛.国内外算法风险研究:框架、特征及展望 [J/OL].情报理论与实践, 1-11[2024-10-19]. http://kns.cnki.net/kcms/detail/11.1762.G3.20240807.1551.004.html.(MA H Q, ZHANG T. Research on algorithm risk at home and abroad: framework, features, and prospects[J/OL]. Information studies: theory&application, 1-11[2024-10-19]. http://kns.cnki.net/kcms/detail/11.1762.G3.20240807.1551.004.html.)
[36] 车万翔,窦志成,冯岩松,等.大模型时代的自然语言处 理:挑战、机遇与发展[J].中国科学:信息科学, 2023, 53(9): 1645-1687.(CHE W X, DOU Z C, FENG Y S, et al. Towards a comprehensive understanding of the impact of large language models on natural language processing:challenges, opportunities and future directions[J]. Scientia sinica (informationis), 2023, 53(9):1645-1687.)
[37] 关伟杰.生成式人工智能信息内容审核机制构建研究 [EB/OL].[2024-10-19]. http://www.legaldaily.com.cn/fxjy/content/2024-08/13/content_9038578.html.(GUAN W J. Research on the construction of generative artificial intelligence information content review mechanism[EB/OL].[2024-10- 19]. http://www.legaldaily.com.cn/fxjy/content/2024-08/13/content_9038578.html.)
[38] 於兴中.数字素养:从算法社会到网络3.0[M].上海:上海 人民出版社, 2022.(YU X Z. Digital literacy:from algorithmic society to network 3.0[M]. Shanghai:Shanghai People's Publishing House, 2022.)
[39] LUND B, WANG T, MANNURU N R, et al. ChatGPT and a new academic reality:artificial intelligence-written research papers and the ethics of the large language models in scholarly publishing[J]. Journal of the Association for Information Science and Technology, 2023, 74(5):570-581.
[40] 徐洁,燕颖川.算法年龄歧视的现实挑战与规制路径[J].学术 交流, 2023(7):134-155.(XU J, YAN Y C. The real challenges of algorithmic age discrimination and regulatory approaches[J]. Academic exchange, 2023(7):134-155.)
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