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为什么以及如何在你的学术生活中接受像ChatGPT这样的AI

¹Programme of Applied Psychology, School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, People's Republic of China.

Royal Society open science

|August 25, 2023

概括

包括大型语言模型 (LLM) 在内的生成人工智能 (AI) 可以提高研究生产力. 本指南提供了关于在科学中使用LLM的实用建议,解决了它们的优点,局限性和道德考虑.

科学领域:

科学研究方法论科学研究方法论.
认识论的认识论学.
科学哲学的科学哲学.

背景情况:

生成型人工智能 (AI) 和大型语言模型 (LLM) 是新兴的工具,有可能显著提高科学研究的生产力.
了解这些人工智能工具的功能和局限性对于它们有效和道德地融入学术工作流程至关重要.

研究的目的:

为研究人员提供关于在学术环境中利用LLMs的实用指南.
分析在科学研究中使用人工智能的优势,约束和哲学含义.
为最大限度地提高LLM有效性和应对道德挑战提供策略.

主要方法:

对ChatGPT的案例研究分析,以确定关键属性:智能,多功能性和协作.
探索快速工程技术和研究中LLMs的实际用例.
对人工智能对研究伦理,平等和教育的影响的哲学和认识论评估.

主要成果:

识别智能,多功能性和协作作为像ChatGPT这样的LLM的关键属性.
为道德AI使用提出透明披露,并强调开放科学实践以减轻假研究.
人工智能在促进和加剧研究中的不平等方面具有公认的潜力.

结论:

研究人员可以利用LLM来提高生产力,但必须意识到其局限性和伦理含义.
建议对人工智能使用进行透明披露,以及开放科学实践,以确保研究完整性.
积极参与教育中的法学士课程对于发展批判性思维能力至关重要.

关键词:

聊天GPT/巴德的时间人工智能的人工智能是人工智能.伦理学伦理伦理学大型语言模型.开放科学是一个开放的科学.生产力生产力生产率的提高.

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