"助"与"替":生成式AI对学术研究的双重效应
"Assistance"and"Replacement":The Dual Effects of Generative AI on Academic Research
黄时进1
作者信息
- 1. 华东理工大学马克思主义学院(上海200217)
- 折叠
摘要
生成式AI应用于学术研究,揭开了知识生产的新篇章,它可以通过"助"读、"助"知、"助"写和"助"思来助力人的学术研究,自动化一些准备性或辅助性的工作,减轻人的认知负荷,使人将主要精力集中学术创新的关键环节,提高学术知识生产的效率.但对于生成式AI辅助功能的过度使用,可能导致"替"读、"替"知、"替"写、"替"思等负面效应,带来人的学术能力多向度退化.如何"助而不替"地合理使用生成式AI,是智能时代人机合作进行学术知识生产的新课题.
Abstract
The application of generative AI in academic research has opened a new chapter in knowledge production.It can assist people in academic research through "reading assistance","knowledge assistance","writing assistance",and "thinking assistance",automate some preparatory or auxiliary work,reduce human cognitive load,enable people to focus their main energy on the key links of academic innovation,and improve the efficiency of academic knowledge production.However,the excessive use of generative AI auxiliary functions may lead to negative effects such as"reading replacement","knowledge replacement","writing replacement",and"thinking replacement",resulting in multi-dimensional degradation of human academic abilities.How to use generative AI effectively with"assistance rather than replacement"is a new topic of human-machine cooperation for academic knowledge production in the age of intelligence.
关键词
生成式AI/大模型/文本生成/学术研究/知识生产/人机结合Key words
generative artificial intelligence/big model/text generation/academic research/knowledge production/hu-man-machine cooperation引用本文复制引用
基金项目
国家社会科学基金一般项目(22BZX027)
出版年
2024
NETL
NSTL
万方数据