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人工智能时代的研究诚信:挑战和应对
Ziyu Chen1, Changye Chen1, Guozhao Yang1
1The First Affiliated Hospital of Shenzhen University, Shenzhen University, Shenzhen, China.
Medicine
|July 5, 2024
概括
研究中的人工智能 (AI) 提高了效率,但存在学术不当行为的风险. 加强伦理准则,研究人员培训和审查机制对于保持科学完整性和公众信任至关重要.
科学领域:
- 科学研究方法论科学研究方法论.
- 人工智能应用的人工智能应用.
- 学术诚信 学术诚信
背景情况:
- 人工智能 (AI) 提高了研究效率和准确性.
- 人工智能引入了新的学术不当行为风险,如数据制造和抄袭.
- 这些风险威胁到研究完整性和科学进步.
研究的目的:
- 为应对人工智能在科学研究中所带来的挑战.
- 强调需要加强伦理规范和审查机制的必要性.
- 提出可行的策略,以保持AI时代的研究完整性.
主要方法:
- 关于人工智能应用和学术不当行为的文献评论.
- 分析当前的伦理准则和培训计划.
- 为负责任的人工智能实施制定建议.
主要成果:
- 确定了特定的AI驱动的学术不端行为的风险.
- 强调现有的道德框架不足.
- 提出的关键行动包括指导方针制定,强制性培训和国际合作.
结论:
- 迫切需要全面的AI研究完整性指南.
- 强制性人工智能伦理和诚信培训对研究人员至关重要.
- 国际合作对于统一的伦理标准和保护公众对科学的信任至关重要.
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