人工智能驱动的出版物激增:对卫生专业人员的影响和潜在的缓解解决方案
Guglielmo Arzilli1, Elisa Di Maggio2, Luigi De Angelis1
1Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Frontiers in public health
|October 10, 2025
概括
像ChatGPT这样的生成人工智能工具为科学写作提供了好处,但有可能导致不可靠信息的"传染病". 维护科学完整性需要道德准则和数字素养,以确保公平的知识共享.
科学领域:
- 医学和公共卫生沟通 医学和公共卫生沟通
- 研究中的人工智能.
背景情况:
- 生成型人工智能和大型语言模型 (LLM) 正在迅速发展,影响科学沟通.
- 像ChatGPT (2022年发布) 这样的工具现在广泛协助手稿编辑,数据分析和证据合成.
研究的目的:
- 检查生成人工智能对科学出版的双重影响,强调机遇和风险.
- 解决有关人工智能产生的科学内容质量,可靠性和伦理影响的担忧.
主要方法:
- 在科学出版中采用人工智能的当前趋势的定性分析.
- 在学术期刊上对人工智能滥用的记录案例的审查.
- 评估现有的挑战和建议的解决方案,以负责任的AI整合.
主要成果:
- 人工智能工具提高了科学写作的效率,但也带来了错误信息和"传染病"的风险.
- "出版或灭亡"的文化和掠夺性期刊的高出版费加剧了这些风险.
- 滥用人工智能来制造虚假的文章和虚假的作者身份,威胁着基于证据的医学.
结论:
- 迫切需要制定监管框架,道德准则,以及为研究人员和卫生专业人员提供数字素养培训.
- 平衡的方法至关重要,以利用AI的效率,同时维护科学完整性.
- 防止人工智能驱动的信息流行对于公平和高质量的医学知识传播至关重要.
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