在使用人工智能进行学术写作时的伦理困境以及在病学中对同行评审的示例框架学术界:叙述性审查
Jing Miao1, Charat Thongprayoon1, Supawadee Suppadungsuk1,2
1Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Clinics and practice
|January 22, 2024
概括
人工智能 (AI) 在病学学术界在学术写作中提出了伦理挑战. 解决方案包括人工智能检测,增强同行评审和培训,以保持学术完整性.
科学领域:
- 腎病學院 腎病學院
- 学术出版学术出版公司
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能 (AI) 显著推进了科研究和学术写作.
- 人工智能的自动化能力引发了关于学术完整性的伦理问题.
- 在手稿中滥用人工智能生成的文本威胁到学术真实性和同行评审.
研究的目的:
- 为解决人工智能在科学术写作中所带来的道德困境.
- 突出由于人工智能而导致的学术出版过程中的漏洞.
- 为AI在学术努力中负责任地整合提出解决方案.
主要方法:
- 审查人工智能对病学学术诚信的影响.
- 在人工智能辅助的学术写作中分析道德挑战.
- 关于缓解策略和人工智能整合框架的建议.
主要成果:
- 人工智能入侵在各种学术成果中很明显,包括期刊和论文.
- 现有系统对人工智能驱动的不当行为存在漏洞.
- 提出的解决方案重点是人工智能检测,增强同行评审和道德培训.
结论:
- 迫切需要共同努力,以确保在科领域道德地应用人工智能.
- 需要进一步的研究来评估AI的流行率和检测工具的有效性.
- 积极的框架可以使人工智能能力与学术标准相协调.
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