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进入新时代,信息技术与经济社会发展深度融合,人工智能技术通过与互联网融合,获得了广泛的传播力和影响力,带来的意识形态风险也对信息传播的各个环节产生影响。以深度伪造、推荐算法、人工智能生成内容等三类意识形态风险多发高发的技术为例,结合5W传播理论,从传播主体的身份特性、传播内容的信息构成、传播载体的形式特征、传播对象的受众特点和传播结果的成效评估五个方面对该影响展开分析。研究表明,人工智能技术应用具有传播主体渗透渠道隐匿、追踪溯源困难,传播内容虚实结合、难辨真伪,传播载体多样化、监管难,传播对象遍布网络空间,传播结果具有危害性大等特点。亟须建立制度保障、加强技术对抗、强化平台管理、传播主流价值,才能准确把握信息传播各环节的风险隐患,切实提高意识形态风险处置能力。
Abstract:Entering the new era, information technology is deeply integrated with economic and social development.Through the integration with the Internet, artificial intelligence( AI) technology has gained a wide range of communication power and influence, and the accompanying ideological risk also has an impact on all aspects of information communication.Taking three types of technologies with frequent occurrence of ideological risk such as deepfakes, recommendation algorithm,and artificial intelligence generated content as examples, combined with the 5W communication theory, this paper systematically analyzes the ideological security risks of AI technology in the entire process of information dissemination from five aspects: the identity characteristics of the dissemination subject, the information composition of the dissemination content, the formal characteristics of the dissemination carrier, the audience characteristics of the dissemination object, and the effectiveness evaluation of the dissemination results. We find that the application of AI technology has the following features: the dissemination subject is hidden and difficult to be traced, the dissemination content is combined with the virtual and the real and difficult be distinguished, the dissemination carriers are diversified and difficult to be supervised, the dissemination objects are spread throughout the network space, and the dissemination results are highly harmful. It is necessary to establish institutional guarantees, strengthen technological confrontation, enforce platform management, and disseminate mainstream values in order to truly grasp the prevention and resolution of various links in risk dissemination and enhance the ability to handle ideological risks.
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基本信息:
DOI:10.14134/j.cnki.cn33-1337/c.2024.05.004
中图分类号:G206;TP18
引用信息:
[1]刘震,崔曦元.信息传播全过程的人工智能意识形态风险分析[J].浙江工商大学学报,2024,No.188(05):34-43.DOI:10.14134/j.cnki.cn33-1337/c.2024.05.004.
基金信息:
教育部高校思想政治理论课教师研究专项重大课题攻关项目“思政课教师教学法快速提升方案和培训资源研究”(23JDSZKZ08); 北京市哲学社会科学项目“大数据时代社会思潮的传播特点与规律研究”(17KDB044); 清华大学自主科研项目“政治经济学视角下平台经济对收入分配的影响研究”(2022Z04W01012)