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人工智能在产前和儿科基因组医学中的伦理
Simon Coghlan1,2, Christopher Gyngell3,4, Danya F Vears3,4,5
1School of Computing and Information Systems (CIS), Centre for AI and Digital Ethics (CAIDE), The University of Melbourne, Grattan St, Melbourne, Victoria, 3010, Australia. simon.coghlan@unimelb.edu.au.
Journal of community genetics
|October 5, 2023
概括
这项研究探讨了在早期生命基因组医学中使用人工智能 (AI) 的伦理考虑. 它解决了人工智能在产前和儿科基因组测序中的应用的关键伦理原则.
科学领域:
- 生物伦理学生物伦理学
- 基因组医学是基因组医学.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在早期基因组医学中的伦理影响仍然未被充分探索.
- 在产前和儿科环境中,基因组人工智能应用带来了独特的伦理挑战.
- 现有的文献还没有充分解决人工智能,基因组学和早期人类发展的交集问题.
研究的目的:
- 检查将人工智能 (AI) 引入产前和儿科基因组医学的伦理风景.
- 识别和讨论与基因组人工智能在早期生活环境中相关的伦理问题.
- 为人类生命早期基因组人工智能的道德合理整合提供指导.
主要方法:
- 文献综述和伦理分析.
- 专注于三个关键的应用领域:产前基因组测序,重症儿童的快速基因组测序和儿科基因组数据的重新分析.
- 检查道德原则,包括公益,非有害,自主,正义,透明,问责,隐私和信任.
主要成果:
- 确定了关于在产前和儿科环境中使用基因组AI的重大伦理问题.
- 强调需要在这些敏感应用中仔细考虑自主性,隐私和正义.
- 强调了在儿童基因组医学中部署人工智能的透明度和问责的重要性.
结论:
- 基因组人工智能在生命早期的伦理引入需要全面了解其潜在的好处和风险.
- 解决与慈善,非慈善,自治,正义,透明度,问责制,隐私和信任有关的伦理挑战至关重要.
- 这项检查为在产前和儿科护理中开发基因组AI的伦理框架提供了基础.
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