人工智能、人类认知与知识崩溃 – 达伦·阿西莫格鲁
摘要中提到：
“我们研究生成性人工智能，特别是具代理性的人工智能，如何影响人类学习动机以及社会信息生态系统的长期演变……学习表现出范围经济：人类的高成本努力共同产生了关于自身背景的私人信号和一个“薄弱”的公共信号，这些信号累积成社区的整体知识储备，从而产生学习外部性……模型突出了一个明显的动态张力：虽然具代理性的人工智能可以提高当下决策的质量，但它也可能削弱维持长期集体知识的学习动机。”
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From the abstract:
"We study how generative AI, and in particular agentic AI, shapes human learning incentives and the long-run evolution of society’s information ecosystem... Learning exhibits economies of scope: costly human effort jointly produces a private signal about their own context and a “thin” public signal that accumulates into the community’s stock of general knowledge, generating a learning externality.... The model highlights a sharp dynamic tension: while agentic AI can improve contemporaneous decision quality, it can also erode learning incentives that sustain long-run collective knowledge. "