国际视野下生成式人工智能的教育监管:政策方略与实践路向

Policies and Practices for Regulating Generative AI in Education: An International Perspective

  • 摘要: 数字变革浪潮之下,世界各国纷纷以行政命令、立法、指导、建议等形式明确生成式人工智能监管的技术标准、应用规制和伦理准则。作为较早针对生成式人工智能教育风险作出反应的国家和组织,美国、欧盟、英国分别实行自愿适用的柔性监管、基于风险的审慎监管以及结果导向的灵活监管。尽管监管方略不同,但创新、安全、透明、公平等原则已成为普遍共识。以技术向善为出发点,各国通过明确技术标准、完善法规依据、规范部署程序、引导具体应用、加强社会参与等举措推进生成式人工智能教育的全生命周期监管。国际已有实践为我国生成式人工智能教育的监管提供了有益镜鉴:一是调整监管理念,兼顾技术创新与教育赋能;二是完善内外规约,分级分类规范应用场景;三是聚焦教学实践,提高师生的技术驾驭能力;四是促进多元参与,营造治理型监管生态。

     

    Abstract: Under the global tide of digital transformation, nations worldwide have established technical standards, application regulations, and ethical guidelines for generative artificial intelligence (GenAI) through administrative directives, legislation, and policy recommendations. As early responders to GenAI-related educational risks, the United States, European Union, and United Kingdom have implemented distinct regulatory paradigms: voluntary compliance-based regulation, prudential risk-based regulation, and flexible outcome-oriented governance. While strategic approaches differ, consensus has emerged on core principles including innovation facilitation, safety assurance, algorithmic transparency, and equity preservation. These jurisdictions advance whole-lifecycle regulation of educational by clarifying technical standards, improving legal basis, standardizing deployment procedures, guiding specific applications, and strengthening social participation. International practices have provided a useful mirror for China: first, balancing technological innovation with pedagogical empowerment through adaptive regulatory philosophies; second, establishing tiered regulatory mechanisms aligned with scenario-specific risk profiles; third, cultivating technical literacy among educators and learners through practice-oriented capacity building; fourth, fostering multi-stakeholder collaborative ecosystems for governance-oriented regulation.

     

/

返回文章
返回