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作 者:邓娟花 Juanhua Deng(School of Law and Politics&Shi Liangcai School of Journalism and Communication,Zhejiang Sci-Tech University,Hangzhou Zhejiang)
机构地区:[1]浙江理工大学法政学院、史量才新闻与传播学院,浙江杭州
出 处:《法学(汉斯)》2024年第11期6705-6711,共7页Open Journal of Legal Science
摘 要:2024年两会上,政府工作报告首次提出“人工智能+”的概念。在贯彻“人工智能+教育”行动中,也即人工智能与教育相互融合的领域,仍旧存在教育数据去标识化后的“可复原风险”以及分析利用过程中的算法歧视风险。主要原因在于师生信息主体之间与人工智能应用之间存在“数字鸿沟”,进而产生使用智能技术的不信任感。为解决这一困境,本文主张以强制代替鼓励,来要求人工智能算法决策机制具备透明性和可解释性,以及设立独立的第三方监管机构解构作为信息主体的师生群体与人工智能之间的信息能力不平等关系困境,真正达到“人工智能+教育”行动的贯彻。In the two sessions in 2024,the government work report put forward the concept of“artificial intelligence+”for the first time.In the implementation of the“artificial intelligence+education”action,that is,in the field of the integration of artificial intelligence and education,there are still“recoverable risks”after the deidentification of education data and the risk of algorithmic discrimination in the process of analysis and utilization.The main reason is that there is a“digital divide”between teachers and students and the application of artificial intelligence,which in turn leads to a sense of distrust in the use of intelligent technology.In order to solve this dilemma,this paper advocates the replacement of encouragement with coercion,the transparency and explainability of the decision-making mechanism of artificial intelligence algorithms,and the establishment of an independent third-party regulatory agency to deconstruct the dilemma of the unequal relationship between teachers and students as the subject of information and artificial intelligence,so as to truly achieve the implementation of the“artificial intelligence+education”action.
分 类 号:TP1[自动化与计算机技术—控制理论与控制工程]
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