人工智能、人类认知与知识崩溃 – Daren Acemoglu
2 分•作者: aanet•5 个月前
摘要：
我们研究生成式人工智能，特别是自主智能体，如何塑造人类的学习激励，以及社会信息生态系统的长期演变… 学习表现出范围经济性：昂贵的人类努力共同产生关于自身情境的私人信号，以及积累到社区通用知识库中的“稀薄”公共信号，从而产生学习外部性… 该模型突出了一个尖锐的动态张力：虽然自主智能体可以提高当下的决策质量，但它也可能侵蚀维持长期集体知识的学习激励。
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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. "