一个以概念为中心的合成矩阵框架 (SMF) 关于Chat GPT在科学写作中的应用:从偏执到危险的旅程 这就是为什么我喜欢它
Sushma Bommanavar1, Vishnudas Prabhu2
1Centre for Global Health Research, Dental Research Unit, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Journal of oral and maxillofacial pathology : JOMFP
|July 24, 2025
概括
聊天GPT (聊天生成预训练变压器) 带来了人工幻觉和科学写作的不准确性等风险. 人类监督对于可靠的AI辅助学术和生物医学研究至关重要.
科学领域:
- 生物医学研究生物医学研究
- 学术写作 学术写作
- 人工智能的人工智能
背景情况:
- 聊天GPT (聊天生成预训练变压器) 越来越多地用于科学写作和生物医学研究.
- 人工智能产生的内容,特别是"人工幻觉"的准确性和可靠性存在担忧.
研究的目的:
- 开发一个合成矩阵框架 (SMF) 来评估ChatGPT在学术和研究写作的用途和风险.
- 解决人工智能产生的科学信息可靠性的研究缺口.
主要方法:
- 使用与ChatGPT和科学写作/生物医学研究相关的布尔术语搜索了Google Scholar和PubMed.
- 包括全文英语文章,并使用标题对覆盖范围,综合和意义进行评估.
- 专注于识别优点,缺点,准确性,抄袭,伦理和偏见问题.
主要成果:
- 基于证据的研究表明,科学写作中对ChatGPT存在重大担忧,包括抄袭,伦理问题,偏见和不正确的内容.
- 没有人类干预和持续监控,ChatGPT不是一个可靠的科学写作工具.
- 该研究强调了"人工幻觉"的可能性,即人工智能生成的信息与现实有所不同.
结论:
- 聊天GPT需要人类监督,以确保科学写作的准确性和道德合规性.
- 拟议的合成矩阵框架 (SMF) 可以指导人工智能在研究中的负责任使用.
- 教育工作者和政策制定者应该考虑将SMF纳入高等教育课程,以提高研究质量.
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