生物医学数据科学,人工智能和道德:面对爆炸式增长的挑战,应对挑战
Carole A Federico1, Artem A Trotsyuk1
1Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA; email: carolef2@stanford.edu, atrotsyuk@stanford.edu.
Annual review of biomedical data science
|April 10, 2024
概括
医疗保健中的人工智能 (AI) 引发了关于隐私,数据安全和组织和数据捐赠者的正义的伦理问题. 需要一个平衡的监管方法,以确保可信的人工智能在医学.
科学领域:
- 生物医学数据科学 生物医学数据科学
- 医疗保健中的人工智能
- 生物伦理学生物伦理学
背景情况:
- 生物医学数据科学和人工智能正在改变医疗保健提供和研究.
- 人工智能技术的快速发展带来了新的伦理挑战.
- 现有的监管框架很难跟上AI发展的步伐.
研究的目的:
- 审查与生物医学中的AI相关的伦理问题,重点关注数据和组织捐赠者.
- 检查有关人工智能研究意外后果的社会义务.
- 提出解决方案,以解决AI在医疗保健中的伦理复杂性.
主要方法:
- 关于人工智能和生物医学数据科学的伦理考虑的文献综述.
- 分析隐私,数据安全,同意和司法问题.
- 审查监管格局和潜在的全球方法.
主要成果:
- 人工智能发展对捐赠者的隐私,数据安全,知情同意和公平正义构成风险.
- 人工智能的意外后果和监控潜力需要仔细评估.
- 不同的监管框架为全球管理人工智能风险带来了挑战.
结论:
- 一个协作,知情和灵活的监管战略是必不可少的.
- 将创新与个人权利和公共福利相平衡,对于人工智能采用至关重要.
- 培养一个值得信赖的AI驱动的医疗保健生态系统需要积极的道德治理.
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