智能向善:国外教育领域生成式人工智能应用的治理方略  被引量:3

Intelligence for Good:Governance Strategies for Generative AI Applications in Education Abroad

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作  者:柳晨晨 李运娇 王佑镁[2] Chenchen LIU;Yunjiao LI;Youmei WANG(Big Data and Smart Education Research Center,Wenzhou University,Wenzhou 325035,Zhejiang;Research Center for Big Data and Smart Education,Wenzhou University,Wenzhou 325035,Zhejiang)

机构地区:[1]温州大学教育学院,浙江温州325035 [2]温州大学大数据与智慧教育研究中心,浙江温州325035

出  处:《中国教育信息化》2024年第10期54-62,共9页Chinese Journal of ICT in Education

基  金:教育部教育管理信息中心国外教育研究2024年度委托课题“生成式人工智能对教育的影响、应对研究及数据库建设”(编号:MOE-CIEM-20230032)。

摘  要:全球范围内,生成式人工智能在教育领域的运用正日益受到关注。通过深入探讨生成式人工智能在教育领域的应用及其治理策略,旨在揭示其在国外的进展和未来发展趋势,并针对发现的应用问题提出解决方案。当前,生成式人工智能在输出内容可信度、信息来源多样性、数字偏见、师生主体地位受到挑战等方面面临诸多伦理风险困境。通过分析国外教育领域生成式人工智能应用及治理案例,发现内容可信度和内容使用权是教育应用治理的重要考量,教育主体性和教育行业价值是教育应用治理的核心要义,使用指南和监管政策是教育应用治理的守门防线。其主要治理举措包括赋予算法“真善”的价值导向,构建顶层政策引领导向,实施有道德的主体责任研究导向,并针对我国教育领域人工智能发展实际情况,构建“善用、善本、善防、善长”四个维度的智能向善治理策略,实现教育领域生成式人工智能应用的可持续发展。The application of generative artificial intelligence in the field of education is receiving increasing attention globally.By delving into the application and governance strategies of generative artificial intelligence in the field of education,the aim is to reveal its progress and future development trends both domestically and internationally,and propose solutions to the identified application problems.Currently,generative artificial intelligence faces many ethical risks and dilemmas in terms of output content credibility,diversity of information sources,digital bias,and challenges the subject status of teachers and students.By analyzing the application and governance cases of generative artificial intelligence in the field of education abroad,it is found that content credibility and content usage rights are important considerations for educational application governance.Educational subjectivity and the value of the education industry are the core essence of educational application governance,and usage guidelines and regulatory policies are the defense line for educational application governance.Its main governance measures include endowing algorithms with the value orientation of“truth and goodness”,constructing top-level policy guidance,implementing ethical subject responsibility research guidance,and building intelligent governance strategies in four dimensions of“good use,good foundation,good prevention,and good growth”based on the actual development of artificial intelligence in China’s education field,to achieve sustainable development of generative artificial intelligence applications in the education field.

关 键 词:生成式人工智能 智能向善 治理 教育 应用 

分 类 号:G434[文化科学—教育学]

 

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