作　　者： ;

机构地区： 广东外语外贸大学新闻与传播学院

出　　处： 《南京社会科学》 2023年第6期150-160,共11页

摘　　要： 历经数千年的人类知识生产活动,在转入平台化发展模式后走向了系统性变革,其生产主体、生产模式、生产倾向均发生嬗变,新近ChatGPT的应用进一步为平台化知识生产提供了人工智能生成的可行方案。平台化运行和AIGC的叠加使知识生产的不确定性增强、创新性减弱,对知识社会产生影响,也为知识生产实践带来众多问题:数据化逻辑使知识生产内容发生偏移,知识的本体变得不确定;商品化逻辑使知识生产呈现出货币化导向,屈服于商业利益;选择性逻辑使知识生产定制化,容易导致偏见甚至产生知识谬误。本文从智能主体规制与平台治理两个向度探讨AIGC下平台化知识生产的多路径调适,包括提前制定智能主体的适应性法律框架,建立“知识守门人”制度,建构知识内容的“内容—算法”综合审核体系。 Human knowledge production activities have iterated after several thousand years,the platformization turning is causing a systematic change,as its production subjects,production models,and production tendency have all undergone changes.The recent application of ChatGPT provides a feasible scheme of artificial intelligence generation for platformization-based knowledge production.The superposition of platform operation logic and AIGC makes knowledge production more uncertain and less innovative,bringing forth various issues in the practice of knowledge production,the datafication logic makes the knowledge content deviate,and the ontology becomes uncertain.Second,the commodification logic makes knowledge production oriented towards monetization and commercial interests.Third,the selection logic makes knowledge production customized that can easily lead to prejudice and even knowledge fallacy.This paper discusses the multi-path adaptation in platformization-based knowledge production under AIGC from intelligent agent regulation and platform governance,including formulating adaptive legal framework of intelligent agents in advance,establishing a “knowledge gatekeeper” system and constructing a “content-algorithm” comprehensive review system.

关 键 词： 平台化知识生产 众包 算法 平台

领　　域： [文化科学—传播学]