大模型时代：生成式人工智能的类人属性及社会影响

陈茁; 陈云松

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February 2026

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Citation: CHEN Zhuo and CHEN Yunsong. The Era of Large Models: Human-like Attributes and Social Implications of Generative Artificial Intelligence[J]. Academic Monthly, 2026, 58(2): 15-30. shu

The Era of Large Models: Human-like Attributes and Social Implications of Generative Artificial Intelligence

CHEN Zhuo ,
CHEN Yunsong

Abstract

Generative AI has exhibited a range of human-like attributes.Through its broad applicability,powerful content-generation capabilities,intuitive modes of interaction,and strong adaptability,it is driving a new wave of technological transformation.These characteristics enable generative AI to simulate human perspectives,cognitive processes,and emotional expressions within specific contexts,thereby exerting extensive and profound influences on social structures and patterns of social relations.This article systematically reviews key findings and core perspectives in recent digital sociology research on the social implications of generative AI.Grounded in an examination of the human-like attributes of large models,it provides an in-depth analysis of their potential impacts across three critical domains: reshaping economic paradigms and labor markets,reconfiguring political power,and transforming cultural production and social relations.While generative AI offers unprecedented opportunities for social development,it simultaneously gives rise to complex economic,political,and socio-ethical challenges,underscoring the urgent need for interdisciplinary dialogue and rigorous empirical research.
- large models,generative large models,generative artificial intelligence,digital sociology,
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  YU Jianxing , LIU Yuxuan . Beyond the Outside Observer: Repositioning the Social Sciences in the Era of Large Language Models. Academic Monthly, 2026, 58(7): 77-89.
2. [2]
  ZHANG Yi . Cognitive Transformation in Historical Research in the Age of AI——“Fluency-Induced Occlusion” in LLM-Assisted Reading of Diplomatic Manuscripts. Academic Monthly, 2026, 58(8): 29-40.
3. [3]
  WANG Qian . AI-Generated Content and Copyright Liability: Paradoxes and Resolutions. Academic Monthly, 2026, 58(8): 118-132.
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  XIE Yue . How State Capacity Is Generated in Practice——A Dynamic Equilibrium Model of Governance. Academic Monthly, 2026, 58(8): 106-117.
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  HE Da'an , LI Huaizheng . Digital Adjustment Mechanism in the Application of Artificial General Intelligence. Academic Monthly, 2026, 58(7): 54-63.
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  WEN Jun . From Technical Tokens to Social Tokens: the Ontological Construction of Token Sociology. Academic Monthly, 2026, 58(8): 145-156.
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  ZHOU Mujun . Between Theory and Empirical Facts: Habermas and the Sociological Debate on the Public Sphere. Academic Monthly, 2026, 58(8): 157-170.
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  YOU Yang . How Does AI Understand Language Meaning. Academic Monthly, 2026, 58(8): 16-28.
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  WAN Yong , LI Yalan . Realizing the Function of Copyright Law in the Era of Artificial Intelligence. Academic Monthly, 2026, 58(7): 104-116.
10. [10]
  LIN Xifen , FU Zhangyi . How Does Public Trust in the Judiciary Shape Acceptability of Judges' AI-assisted Adjudications——An Empirical Study Based on Questionnaire Data. Academic Monthly, 2026, 58(8): 133-144.
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  WANG Gang . Viewing the Cultural Intent of the “Xueheng School” from Hu Xiansu's Teachers and Friends's Group. Academic Monthly, 2026, 58(7): 206-216.
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  XU Xiangdong . Consciousness and The Moral Status of AI Agents. Academic Monthly, 2026, 58(8): 5-15.

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

The Era of Large Models: Human-like Attributes and Social Implications of Generative Artificial Intelligence

CHEN Zhuo
CHEN Yunsong

Abstract: Generative AI has exhibited a range of human-like attributes.Through its broad applicability,powerful content-generation capabilities,intuitive modes of interaction,and strong adaptability,it is driving a new wave of technological transformation.These characteristics enable generative AI to simulate human perspectives,cognitive processes,and emotional expressions within specific contexts,thereby exerting extensive and profound influences on social structures and patterns of social relations.This article systematically reviews key findings and core perspectives in recent digital sociology research on the social implications of generative AI.Grounded in an examination of the human-like attributes of large models,it provides an in-depth analysis of their potential impacts across three critical domains: reshaping economic paradigms and labor markets,reconfiguring political power,and transforming cultural production and social relations.While generative AI offers unprecedented opportunities for social development,it simultaneously gives rise to complex economic,political,and socio-ethical challenges,underscoring the urgent need for interdisciplinary dialogue and rigorous empirical research.

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通讯作者: 陈斌, bchen63@163.com

The Era of Large Models: Human-like Attributes and Social Implications of Generative Artificial Intelligence

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