| 刘鑫怡.智能教育领域监管沙盒的国际经验及启示[J].全球科技经济瞭望,2025,(11-12):85~92 |
| 智能教育领域监管沙盒的国际经验及启示 |
| International Experience in Regulatory Sandboxes for Intelligent Education and Its Implications for China |
| 投稿时间：2025-09-10 |
| DOI：10.3772/j.issn.1009-8623.2025.11-12.010 |
| 中文关键词: 智能教育；监管沙盒；人机关系 |
| 英文关键词: intelligent education; regulatory sandbox; human-machine relationship |
| 基金项目:中国科学技术信息研究所创新研究基金“法律与技术协同视角下人工智能监管沙盒制度研究”项目（QN2025-03）。 |
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| 摘要点击次数: 60 |
| 全文下载次数: 57 |
| 中文摘要: |
| 当前，智能教育应用蓬勃发展，为建设人人皆学、处处能学、时时可学的学习型社会提供了支撑。
然而，技术快速迭代和广泛应用也伴生出内容生成、个人信息权益保护和人机关系等风险，传统治理
范式日益显现出化解风险的局限性。探讨了监管沙盒在智能教育领域的应用价值，作为平衡技术创新
与风险防控的新型治理工具，其通过构建可控试验环境，破解数据算法监管薄弱、风险外溢、人机
权责边界模糊等关键难题。在梳理典型国家的智能教育监管沙盒实施路径的基础上，结合中国现行
法律法规体系，建议以三类高风险场景作为智能教育监管沙盒适用对象，构建安全规制与激励措施
并重的监管沙盒规则，为智能教育领域的监管创新提供可操作的制度设计。 |
| 英文摘要: |
| Currently, the rapid development of intelligent education applications provides robust support for building
a learning society where everyone can learn, everywhere is a place for learning, and learning is accessible at any time.
However, the rapid iteration and widespread adoption of these technologies have also given rise to risks concerning
content generation, the protection of personal information rights, and human-computer relationships, exposing the
limitations of traditional governance paradigms in mitigating these risks. This paper explores the application value
of introducing the regulatory sandbox into the field of intelligent education. As a novel governance tool designed to
balance technological innovation with risk prevention, the regulatory sandbox helps address critical challenges—such
as weak supervision of data algorithms, risk spillovers, and ambiguous boundaries of rights and responsibilities between
humans and machines—by establishing a controllable testing environment. Based on an analysis of the implementation
pathways of intelligent education regulatory sandboxes in typical countries and in conjunction with China’s current legal
and regulatory framework, this paper proposes focusing on three high-risk scenarios as the target for the application
of the regulatory sandbox. It further suggests constructing sandbox rules that emphasize both safety regulation and
incentive measures, thereby providing an operational institutional design for regulatory innovation in the field of
intelligent education |
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