医疗保健中生成人工智能的伦理和监管挑战:一个中国的观点
Lanyi Yu1,2, Xiaomei Zhai1,2
1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Journal of clinical nursing
|November 5, 2024
概括
医疗保健中的生成人工智能 (GenAI) 带来了伦理和监管挑战,特别是在中国. 澄清数据使用,隐私,成本和法规对于安全的GenAI集成至关重要.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人工智能伦理学 人工智能伦理学
- 监管科学是一种监管科学.
背景情况:
- 将生成人工智能 (GenAI) 整合到医疗保健环境中面临着持续的挑战.
- 中国的监管格局试图平衡公共福利与人工智能医疗保健技术进步.
研究的目的:
- 提供关于GenAI在医疗保健中的伦理问题和监管影响的实用见解.
- 检查GenAI在中国的伦理挑战和监管影响的具体情况.
主要方法:
- 对道德和监管框架的定性分析.
- 案例研究方法侧重于GenAI在中国医疗保健部门的实施.
主要成果:
- 关于数据应用,隐私保护,成本效益和医疗保健中GenAI的监管仍然存在模糊性.
- 在缺乏医疗保健资源的发展中国家,道德和监管方面的挑战加剧了.
结论:
- 严格的道德准则和强有力的数据隐私措施对于GenAI在医疗保健中至关重要.
- 对AI决策的持续监督和评估是必要的,以最大限度地发挥GenAI的好处.
- 对于GenAI在医疗保健中的负责任开发和部署,迫切需要对其道德影响进行评估.
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