医学中的人工智能:在确定疏忽时的问题
Paul Nolan1, Rita Matulionyte2
1Barrister, NSW Bar.
Journal of law and medicine
|February 9, 2024
概括
医疗保健中的人工智能 (AI) 引入了复杂的法律责任问题. 本分析探讨了涉及人工智能的医疗失误案件中的挑战,特别是"黑子"问题,并提出了法律解决方案.
科学领域:
- 医疗法律和伦理学
- 医疗保健中的人工智能
- 侵权法 侵权法 侵权法 侵权法
背景情况:
- 人工智能 (AI) 融入临床实践引发了新的法律责任问题.
- 目前关于医疗保健中的AI的判例法在全球范围内有限.
- 人工智能的"黑盒子"性质在法律背景下提出了独特的挑战.
研究的目的:
- 分析涉及人工智能的医疗失误索赔.
- 鉴定出因人工智能的"黑子"性质而导致的违反关心义务和因果关系的挑战.
- 探索AI相关医疗责任的潜在法律解决方案.
主要方法:
- 分析医疗疏忽原则,重点关注疏忽的侵权行为.
- 检查医疗保健中的"黑子"AI问题.
- 通过假设的例子应用2002年"民事责任法" (NSW) 和普通法.
主要成果:
- 人工智能的"黑盒子"特征使得在医疗疏忽中发现违反职责和因果关系变得复杂.
- 现有的法律框架在解决人工智能的不透明性方面遇到了困难.
- 假设场景说明了诉讼当事人和法院面临的实际挑战.
结论:
- 解决医疗保健中人工智能的法律责任需要调整当前的疏忽原则.
- 需要解决方案来克服"黑子"的问题,并确保问责制.
- 进一步的法律发展对于AI在医学中的安全和有效采用至关重要.
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