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信息与用户双重视角下的智能媒体AI伦理治理研究

A Study of AI Ethical Governance in Intelligent Media under the Dual Perspective of Information and User
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摘要 智能媒体作为人工智能(AI)驱动的信息生态系统,其运行依赖信息与用户的协同作用。目前,信息生产、传播和用户反馈3个关键环节面临全新AI伦理挑战,亟需相适应的AI伦理治理框架以维护信息生态平衡、保护用户权利。文章通过文献调研和逻辑思辨,对AI伦理的概念与内容进行梳理,回溯智能媒体发展历程,并立足信息与用户双重视角,分析具体AI伦理挑战,有针对性地提出包含主体定位和治理路径的治理框架。研究发现,AI伦理包括AI系统、社会福祉、素养提升和责任溯源4个层次共19项内容;智能媒体正经历着从技术驱动到人智交互的重要转变。信息生产、信息传播和用户反馈3个关键环节中存在虚假信息泛滥、隐私与数据保护等10项AI伦理挑战。AI设计和开发者、智能媒体运营者、用户、政府、社会组织5大治理主体可以通过以用户为本、数据集公正性评估等19条路径实现智能媒体AI伦理的落地。 Intelligent Media,as an AI-driven Information Ecosystem,relies on the synergy between information and users for its operation.At present,the 3 key links of information production,dissemination and user feedback are facing new AI ethics challenges,and there is an urgent need for a compatible AI ethical governance framework to maintain the balance of the information ecosystem and protect the rights of users.Through literature research and logical discernment,the article combs through the concepts and contents of AI ethics,retraces the history of intelligent media,analyzes specific AI ethics challenges based on the dual perspectives of information and users,and puts forward a targeted governance framework that includes the positioning of main bodies and governance paths.The article argues that AI ethics include 19 items at 4 levels:AI system,social well-being,literacy enhancement,and responsibility traceability;intelligent media is undergoing an important shift from technology-driven to HAII.There are 10 AI ethics challenges in the 3 key links,such as the proliferation of false information,privacy and data protection,etc.The 5 main governance bodies,namely AI designers and developers,intelligent media operators,users,government,and social organizations,can realize intelligent media AI ethical governance through 19 paths,such as user-oriented,dataset fairness assessment,and so on.
作者 程卿玄 梁少博 许浩 Cheng Qingxuan;Liang Shaobo;Xu Hao
出处 《图书与情报》 CSSCI 北大核心 2024年第5期95-106,共12页 Library & Information
基金 国家自然科学基金重大研究计划-培育项目“人机交互视角下数据与知识双驱动的可解释智能决策方法研究”(项目编号:92370112)研究成果之一。
关键词 AI伦理 AI伦理治理 信息生态系统 用户研究 智能媒体 AI ethics AI ethical governance information ecosystem user study intelligent media

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