AI让个人创作更顺手，却让集体创意趋同，根源在思维调控的重新分配。
Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity
- AI使用导致元认知能力分化：部分提升，部分被忽视。
- 个体适应理性却引发集体创意趋同，形成社会成本。
- 提出六类元认知能力框架，指导设计平衡创造力与多样性。
近期研究揭示了一个悖论：人工智能提升了个体创作产出，却降低了集体创意多样性。现有解释——认知卸载与过度依赖——仅识别症状而未阐明机制。我们提出‘选择性元认知适应’：常规使用AI会重新分配而非均匀削弱元认知努力。部分能力被增强（如伙伴建模、表面控制），而另一些则系统性地被弱化（如原创性评估、反思性整合）。这种再分配解释了个体满意度与集体趋同并存的现象。本文构建了一个按时间阶段划分的六类元认知能力分类体系，刻画其在常规AI使用下的倾向，并说明个体理性适应如何产生涌现的社会代价。该框架为研究者生成具体预测，为实践者提供保留个体创作满足感与集体多样性设计原则。
原文摘要 · Abstract (English)
Recent studies reveal a paradox: AI enhances individual creative outputs while reducing collective diversity. Current explanations -- cognitive offloading and over-reliance -- identify symptoms but not mechanisms. We propose selective metacognitive adaptation: routine AI use redistributes rather than uniformly diminishes metacognitive effort. Some capacities are amplified (partner modeling, surface control), while others are systematically under-supported (originality evaluation, reflective integration). This redistribution explains both individual satisfaction and collective convergence. We present a taxonomy of six metacognitive capacities organized by temporal phase, characterize their tendencies under routine AI use, and show how individually rational adaptation produces emergent social costs. The framework generates specific predictions for researchers and design principles for practitioners seeking to preserve both individual creative satisfaction and collective creative diversity.
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