arXiv:2603.18117cs.CYcs.AI2026-03被引 1

提出智能守护框架,引导人机协同中的创造性学习与责任担当

Intellectual Stewardship: Re-adapting Human Minds for Creative Knowledge Work in the Age of AI

  • 构建人机协同下的智力治理框架,强调人类对认知过程的主导权
  • 提出五维核心原则,涵盖知识、智能、情境、伦理与自我成长
  • 适合教育者、研究者及政策制定者参考,推动智慧型学习生态建设

在生成式AI带来机遇与风险的背景下,学习研究需重新思考人类心智与责任如何适应AI增强或自动化任务,并融入日常学习、知识工作与社会生活。本文基于学习、智能与知识创造理论,提出一种以人为本、概念清晰的框架——智能守护,以推进人机融合环境中的创造性学习实践。学生与教师作为分布在人与人工智能系统间的认知过程的责任管理者,遵循五个核心原则:知识明智(理解知识演进状态并主动推进)、智能明智(有意识地协调分布式认知资源)、情境明智(识别机会与风险)、伦理明智(强调使用知识与智力权力时的伦理判断与责任)以及自我与共同体成长(将智力工作与个人发展和集体福祉相联)。该框架为反思人类心智在AI渗透的学习环境中如何调适提供了视角,呼吁培养以智慧为导向、具有社会责任感的知识建构者的元级素养与能力。

原文摘要 · Abstract (English)

Background: Amid the opportunities and risks introduced by generative AI, learning research needs to envision how human minds and responsibilities should re-adapt as AI augments or automates various tasks and enters daily learning, knowledge work, and social life. Approach: Drawing on theories of learning, intelligence, and knowledge creation, this conceptual paper proposes intellectual stewardship as a human-centered, conceptually grounded framework for advancing creative learning practices with AI. Key points: Students and teachers work as responsible governors of intellectual processes distributed across human and artificial systems, guided by five core principles. Being knowledge-wise involves understanding the evolving state of knowledge and taking purposeful actions to advance it. Being intelligence-wise emphasizes making informed choices about how to orchestrate distributed cognitive processes and resources. Being context-wise requires sensitivity to recognize opportunities and risks. Being ethics-wise foregrounds ethical judgment, responsibility, and care in the use of knowledge and intellectual power. Finally, self- and community-growing defines the overarching purpose, aligning intellectual work with personal development and the advancement of collective well-being. Contribution: The principles provide a lens for viewing the adaptation of human minds in AI-infused learning environments, calling for the development of meta-level dispositions and capabilities that characterize wisdom-oriented, socially responsible knowledge builders in the AI age.

教育哲学智能守护人机协同学习科学

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