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生成式人工智能作为叙事主体的社会风险及治理

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生成式人工智能通过语言输出建构的叙事主体有不断超越现实主体的可能性,这将会挑战现实社会作为真实存在的基础,因此需要分析产生这些风险的根源.在独立存在论和平行存在论两种传统叙事主体存在观基础上,指出人工智能作为叙事主体是可能的,并表现出生成性、交织性以及在世性等超越性特征.生成式人工智能作为叙事主体的不同存在特征,也带来不同层面的社会风险.在个体层主要有认知与情感能力削减、自我身份认同困难和自我存在意义消解等风险;在组织层主要有冲击主体间关系、影响组织的公共决策和加速后真相时代到来等风险;在社会层主要有大量职业消失、劳动方式改变和社会安全风险加大等风险.面对生成式人工智能作为叙事主体所带来的风险,可以通过建立现实主体语言池、划定叙事主体语料界限和培养自我反思实践能力作为应对方案.
Social Risks and Governance of Generative Artificial Intelligence as a Narrative Subject
The narrative subject constructed by generative artificial intelligence(GAI)through language output has the possibility of constantly surpassing real-world subjects,which challenges the real society as the basis of true existence.Therefore,it is necessary to analyze the root causes of these risks.Building upon the traditional perspectives of independent existence and parallel existence,the author points out that AI as a narrative subject is possible,exhibiting characteristics of generativity,interactivity,and existentiality.The diverse existential features of GAI as a narrative subject also bring about various social risks.At the individual level,there are risks of cognitive and emotional ability reduction,self-identity difficulty and self-existence meaning resolution.At the organizational level,there are risks including impacts on interpersonal relationships,influencing public decision-making within organizations,and accelerating the arrival of a post-truth era.At the societal level,there are major risks such as the disappearance of a large number of jobs,the change of labor patterns and the increased social security risks.Faced with the risks posed by GAI as narrative subjects,countermeasures can be implemented through the establishment of a pool of language for real-world subjects,delineating the boundaries of narrative subject language data,and fostering self-reflective practices.

Generative Artificial IntelligenceNarrative SubjectTranscendenceRisks and ChallengesSocial Risk Management

崔中良

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南京信息工程大学马克思主义学院

华东师范大学哲学系

生成式人工智能 叙事主体 超越性 风险挑战 社会风险治理

国家社会科学基金青年项目

21CZX020

2024

云南社会科学
云南省社会科学院

云南社会科学

CSSCICHSSCD北大核心
影响因子:0.532
ISSN:1000-8691
年,卷(期):2024.(2)
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