扩展的空心:为什么基础知识在AI时代是不可或缺的
Christian R Klein1, Reinhard Klein2
1Clinic of Internal Medicine, University Hospital Bonn, Bonn, Germany.
Frontiers in artificial intelligence
|December 29, 2025
概括
生成型人工智能 (AI) 通过使用户能够绕过深度学习,冒着创造"空洞思维"的风险. 在人工智能时代,培养基本知识和元认知技能对于实现真正的认知主权至关重要.
科学领域:
- 认知科学 认知科学
- 神经生物学 神经生物学 神经生物学
- 发展心理学 发展心理学
背景情况:
- 生成型人工智能提供认知延伸,但存在认知缩的风险.
- "空心"框架描述了对人工智能的依赖,绕过了努力学习.
- "主权陷"解释了将智力判断转移到人工智能的感知能力.
研究的目的:
- 介绍"空洞的思想"和"主权陷"的概念.
- 综合多学科证据来解释AI对学习的影响.
- 提出"强化思维"作为"认知主权"的教学目标.
主要方法:
- 概念框架的发展.
- 从认知科学,神经生物学和发育心理学中综合证据.
- 分析人工智能交互中的"专业知识二元性".
主要成果:
- 人工智能可以通过"主权陷"导致"空洞的头脑".
- 人工智能对新手来说是"平衡器",对专家来说是"放大器".
- 环境设计,而不是用户能力,是关键的挑战.
结论:
- 教学目标是拥有不可或缺的知识和元认知技能的"强化思维".
- 将人工智能工具重新设计成认知训练环境,促进努力参与.
- 在人工智能时代,培养基本知识对于真正的认知主权至关重要.
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