文章摘要
邓胜利,汪璠.AIGC治理的研究进展与发展趋势[J].数字图书馆论坛,2023,(11):20~28
AIGC治理的研究进展与发展趋势
Research Progress and Development Trend of AIGC Governance
投稿时间:2023-07-27  
DOI:10.3772/j.issn.1673-2286.2023.11.003
中文关键词: 人工智能生成内容;多主体协同治理;法律治理;技术治理;伦理治理
英文关键词: AIGC; Collaborative Multi-Party Governance; Legal Governance; Technological Governance; Ethical Governance
基金项目:本研究得到国家自然科学基金项目“信息生态链视角下在线知识社区用户贡献行为评价及预测研究”(编号:71974149)、国家社会科 学基金重大项目“人本人工智能驱动的信息服务体系重构与应用研究”(编号:22&ZD324)资助。
作者单位
邓胜利 武汉大学信息管理学院 
汪璠 武汉大学信息管理学院 
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中文摘要:
      对国内外人工智能生成内容(AIGC)的治理研究进行全面梳理,发现AIGC治理的研究热点和问题,明确未来的发展方向,为新的AI环境下AIGC治理策略的变革和提升提供指导。通过对国内外现有研究进行详细分析,从技术治理、法律治理、伦理治理和多主体协同治理等多个维度,探讨AIGC带来的新的治理要求,以及如何建立多元主体治理体系来应对。首先,AIGC的出现使信息的复杂性和隐蔽性增强,需要通过先进的AI模型和严格的质量管理制度来确保生成的内容在伦理上是可接受的,符合社会和个体的价值观和道德标准。其次,在法律方面关注版权、隐私、虚假信息以及算法歧视等多个法律问题,预见、研究并制定相关的法规。再次,在技术治理方面需要重视算法透明度和可解释性、数据保护和隐私、技术的使用场景适配、用户指导等几个关键内容。最后,通过多主体协同治理让政府、行业和媒体等多方参与,结合技术手段和法律法规,共同形成灵活、高效的治理框架。总之,揭示AIGC治理研究的现状和趋势,提出一系列应对策略,为AIGC的治理提供指导。
英文摘要:
      In this paper, we comprehensively analyze the governance research of artificial intelligence generated content (AIGC) at home and abroad, discover the research hotspots and problems of AIGC governance, clarify the future direction of development, and provide guidance for the change and enhancement of AIGC governance strategies in the new AI environment. Through a detailed analysis of existing studies at home and abroad, we explore the new governance requirements brought by AIGC and how to establish a multi-subject governance system to cope with them from multiple dimensions, such as technological governance, legal governance, ethical governance, and collaborative governance. First, the emergence of AIGC reinforces the complexity and hidden nature of information, which requires advanced AI models and a strict quality management system to ensure that the generated content is ethically acceptable and conforms to the values and moral standards of society and individuals. Second, on the legal side, we focus on multiple legal issues such as copyright, privacy, disinformation, and algorithmic discrimination, and anticipate, study, and formulate relevant regulations in advance. Third, in terms of technology governance, it is necessary to pay attention to several key aspects such as algorithm transparency and interpretability, data protection and privacy, restrictions on the use scenarios of the technology, and user guidance. Finally, multi-party collaborative governance allows the government, industry, and media to participate, combining technical means and laws and regulations to jointly form a flexible and efficient governance framework. In conclusion, this paper reveals the current situation and trend of governance research in the AIGC era, and proposes a series of response strategies to provide guidance for the future governance of AIGC.
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