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生成式大模型与知识异化探析

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知识异化即人类所创造的知识反过来成为异己的力量,对人自身的地位和能力形成控制、削弱等负面效应的现象.人工智能,尤其是生成式大模型,其作为知识生产的强力工具能够积极提升人类知识劳动水平,但同时也蕴含着知识异化的种种可能,包括导致知识主体"失能"、知识内容"失真"、知识价值"失效"等.在生成式大模型时代来临的今天,需要认真分析和对待上述知识异化现象,使人工智能能够更好地发挥促进人与社会发展的积极效应.
An Analysis of Generative Large Models and Knowledge Alienation
Knowledge alienation refers to negative effects that human created knowledge turns into an alien force,controlling and weakening human's own status and abilities.Artificial intelligence,especially generative large models,as powerful tools for knowledge production,actively improves human knowledge labor levels,while also contains various possibilities of knowledge alienation,including"disabled"knowledge subjects,"distorted"knowledge content,and"ineffective"knowledge value.In the era of generative large models,it is necessary to carefully analyze and deal with the phenomenon of knowledge alienation mentioned above in order to enable artificial intelligence to better play a positive role in promoting human and social development.

knowledge alienationgenerative artificial intelligencelarge modelsknowledge production

肖峰

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上海大学马克思主义学院暨智能哲学与文化研究院,上海 200444

知识异化 生成式人工智能 大模型 知识生产

2024

同济大学学报(社会科学版)
同济大学

同济大学学报(社会科学版)

CSSCICHSSCD北大核心
影响因子:0.55
ISSN:1009-3060
年,卷(期):2024.35(6)