人工智能和学术作家的死亡
1Medical Education and Informatics Department, Sultan Qaboos University, Muscat, Oman.
Medical teacher
|July 22, 2025
概括
这项研究表明,大型语言模型 (LLM) 可以履行学术著作的机械作用. 这使得研究人员能够专注于核心研究和学术工作的创意方面.
科学领域:
- 数字人文学科 数字人文学科
- 学术出版学术出版公司
- 教育中的人工智能
背景情况:
- 罗兰·巴思 (Roland Barthes) 认为作者是"文化文物的混合者".
- 大型语言模型 (LLM) 在文本生成中的能力越来越大.
- 学术作者制的传统角色和感知到的机械方面.
研究的目的:
- 在巴特斯的作者概念和LLM函数之间进行并行.
- 建议法学士作为适合学术作者候选人.
- 倡导在学术环境中将著作权重新分配给LLM.
主要方法:
- 概念分析比较文学理论与AI能力.
- 论证性推理以支持拟议的作者权转移.
- 探索对学术研究和教育的影响.
主要成果:
- 确定了LLM文本生成和"混合器"作者概念之间的强烈相似之处.
- 辩称,作者是一个机械的任务,非常适合LLMs.
- 建议将著作权分配给LLM可以提高研究生产力.
结论:
- 法学士可以有效地发挥学术著作权的作用.
- 将著作权转移到LLM可以使人类研究人员为更高级别的认知任务提供自由.
- 这种范式转变对健康专业教育和整个学术界产生了重大影响.
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