---
title: "人类多样性驱动集体创造力，大型语言模型无法模拟或维持"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2607.26899v1"
permalink: "https://feed.astralor.com/items/itm_39628e05f76c8dab158db3ca"
published: "2026-07-29T13:31:37.000Z"
score: 81
channel: "ai"
tags: ["arXiv","人机协作","人类多样性","大语言模型","集体创造力"]
---

# 人类多样性驱动集体创造力，大型语言模型无法模拟或维持

## AI 点评

> 这篇论文用严谨的实验证明了一个常被忽视的真相：AI虽然能提升个体表现，却可能削弱群体创造力。对于那些正在设计AI协作工具的产品经理和开发者来说，这是必须警惕的信号——别让效率牺牲多样性。

## 速览

一项预注册的创造性隐喻实验发现，非母语英语写作者比母语者贡献更多集体多样性。AI构思压缩了所有人的集体多样性，并使非母语优势消失，而AI精炼则保留了多样性。模拟实验中，所有基于真实背景生成的AI角色群体在创造力上均低于人类群体。研究表明，人类多样性仍是当前AI无法模拟或维持的宝贵创造性资源。

## 关键点

- 非母语写作者在无AI辅助时贡献了比母语者更多的集体多样性。
- AI构思（AI ideation）使所有人的集体多样性压缩，并消除了非母语优势。
- AI精炼（AI refinement）保留了非母语写作者的多样性优势。
- 基于真实背景的AI角色模拟在集体创造力上全面低于人类群体。

## 全文

Diverse human groups produce diverse ideas, the raw material of innovation. Generative AI challenges this engine twice over: everyday AI assistance may homogenize what diverse people create, and AI-simulated diversity may replace the people altogether. We tested both challenges in a preregistered creative metaphor experiment with native (L1) and non-native (L2) English writers, who wrote without AI, with AI-generated ideas (AI ideation), or with AI refining their own ideas (AI refinement). L2 writers contributed more collective diversity than L1 writers, with native-language ideation showing the most diverse pools. AI ideation compressed collective diversity for everyone and left the L2 advantage undetectable, whereas AI refinement preserved both. We then simulated the entire writer pool using personas built from participants' real backgrounds, three model families, native-language prompting, and elevated sampling temperatures. Every simulated pool fell below every human pool, and pushing models further induced diversity only through degenerate text. However, at the individual level, AI ideation raised writers' ratings, pitting private incentives against the collective good, except when L2 writers used their native language, which benefited both. Human diversity remains a valuable creative resource that current AI cannot simulate or sustain; the design of human-AI collaborative workflows determines whether it survives.

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引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_39628e05f76c8dab158db3ca