【作 者】：
张 羽， 杨子豪， 覃 菲
【关 键 词 】：
人工智能； 教育治理； 人工智能教育； 深度融合； 教育变革
【栏 目】：
理论探讨
【中文摘要】：
人工智能助力教育变革已成为全球教育发展的重要议题，其技术潜力不断释放，应用场景日益丰富。然而，这一进程也伴随着复杂的挑战和风险，亟须系统性生态治理。研究剖析了AI助力教育变革的三类风险（主体性、安全性、发展性风险），并聚焦四种生态主体（政府、AI技术研发者、学校和企业）开展归因分析，揭示了三类风险的多层次原因链条，涉及四重逻辑：制度逻辑，法律与专业的约束缺失；技术逻辑，算法与系统的内在局限；教育逻辑，守正与守旧的实践挑战；商业逻辑，效率与利益的价值扭曲。为应对上述问题，研究提出AI助力教育变革的生态治理框架，旨在为AI与教育的良性共生与可持续发展提供政策指引，主张以政府为主导，完善顶层架构；增加企业参与，规范行业管理；发挥教育引领作用，提升主体自觉。
【英文摘要】：
Artificial intelligence(AI)-empowered educational transformation has become an important issue in the development of global education, with its technological potential being continuously released and its application scenarios increasingly enriched. However, this process is also accompanied by complex challenges and risks that require systematic ecological governance. The study analyzes three types of risks (subjectivity, safety and developmental risks) of "AI-empowered educational transformation", and focuses on four types of ecological subjects (government, AI technology developers, schools and enterprises) to carry out attribution analysis, revealing a multi-level chain of causes for the three types of risks, involving a quadruple logic: institutional logic, the lack of legal and professional constraints; technological logic, the inherent limitations of algorithms and systems; educational logic, the practical challenges of abiding by the right and the old; and commercial logic, the value distortion of efficiency and profit. In order to cope with the above problems, the study proposes an ecological governance framework of "AI-empowered educational transformation", which aims to provide policy guidelines for the benign symbiosis and sustainable development of AI and education, advocating that the government should take the lead to improve the top-level structure, increase the participation of enterprises to standardize the management of the industry, and give play to the leading role of education to enhance the subject's self-awareness.