人工智能时代的科学写作:试验中的信任?
Raju Vaishya1, Anoop Misra2, Abhishek Vaish1
1Department of Orthopaedics, Indraprastha Apollo Hospitals, Sarita Vihar, Mathura Road, New Delhi 110076, India.
Postgraduate medical journal
|December 23, 2025
概括
生成型人工智能 (AI) 在科学出版中提出了伦理挑战. 需要进一步的研究,以确保人工智能增强,而不是妥协,研究完整性和学术沟通可信度.
科学领域:
- 学术传播学术交流
- 科学出版业的科学出版.
- 人工智能伦理学 人工智能伦理学
背景情况:
- 生成型人工智能 (AI) 正在迅速融入科学写作和出版领域.
- 这种整合既带来了机遇,也带来了重大的伦理挑战.
研究的目的:
- 调查人工智能工具对研究完整性,作者问责制和同行评审的影响.
- 综合有关人工智能政策,检测工具和作者/评论员实践的当前文献.
主要方法:
- 现有人工智能政策和检测工具的文献综合.
- 对有关AI的作者和评论员实践的经验调查的分析.
- 为未来的经验测试制定假设.
主要成果:
- 目前的研究主要依赖于描述性研究.
- 需要基于假设的跨学科研究框架.
- 为了负责任地采用人工智能,需要更大的透明度.
结论:
- 在学术交流中采用人工智能需要仔细考虑道德方面的影响.
- 未来的研究应该专注于假设测试,以了解人工智能的精确影响.
- 确保透明度对于保持科学出版的可信度至关重要.
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