面对责任,法规和成本的自主人工智能系统
Agustina D Saenz1,2,3, Zach Harned4,5, Oishi Banerjee1
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
NPJ digital medicine
|October 6, 2023
概括
医学中的自主人工智能提供了好处,但需要解决责任和监管问题. 医生可能会受到验证的AI的保护,而开发人员必须遵循AI技术的最佳实践.
科学领域:
- 医疗人工智能 医疗人工智能
- 医疗保健技术 技术 医疗保健 技术
- 人工智能在医学中的应用
背景情况:
- 医学中的自主人工智能系统承诺改善结果,但也带来了挑战.
- 大型语言模型的兴起加剧了解决人工智能责任,监管和成本的需要.
- 复杂的自主人工智能系统正在医疗保健领域创造新的机会.
研究的目的:
- 探索医生,医院和人工智能创造者的责任影响.
- 检查医疗AI不断变化的监管环境.
- 讨论适应支付模式以整合人工智能.
主要方法:
- 透视性文章分析当前趋势和未来的影响.
- 审查潜在的法律和监管框架.
- 对人工智能采用的经济考虑进行讨论.
主要成果:
- 如果医生坚持经过验证的AI建议,他们可能会被保护在不当行为诉讼中.
- 人工智能开发人员面临的潜在责任,因为不符合行业的最佳实践.
- 像FDA这样的监管机构正在建立AI评估和监测的框架.
- 支付模式 (MPFS,NTAP,商业支付者) 正在适应人工智能集成.
结论:
- 解决责任和监管方面的问题对于在医学中安全采用自主人工智能至关重要.
- 人工智能开发和实施需要明确的指导方针和标准.
- 人工智能有可能提高医疗保健效率,医生专注于患者护理.
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