加拿大医疗保健中的负责任人工智能:评估框架,挑战和政策方向
Foster Mawuli1, Aby Mathews Maluvelil2,3, John Akorlie1
1University of Ghana Medical Centre, Ghana.
Studies in health technology and informatics
|February 13, 2026
概括
医疗保健中的人工智能 (AI) 提供了好处,但也引发了伦理方面的担忧. 加拿大加拿大加拿大加拿大加拿大加拿大
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
- 公共卫生政策 公共卫生政策
背景情况:
- 人工智能 (AI) 正在彻底改变医疗保健,影响医学成像和预测分析等领域.
- 尽管有AI的潜力,但仍然存在关于公平,透明,问责和公平的重大担忧.
- 加拿大的公共卫生保健系统和强大的AI部门正在积极开发负责任的AI (RAI) 框架.
研究的目的:
- 在加拿大医疗保健中对负责任的AI (RAI) 框架进行范围审查.
- 确定加拿大RAI的治理和实施中现有的优势和持续存在的差距.
主要方法:
- 采用了一种全面的范围审查方法.
- 文献搜索和综合侧重于加拿大医疗保健背景下的RAI.
主要成果:
- 加拿大强烈强调为人工智能发展建立跨学科联盟.
- 重点关注的是劳动力准备和人工智能培训计划.
- 发现的关键缺陷包括对人工智能工具缺乏强大的市场后监督机制.
- 对RAI实施的明确股权保障和可持续融资模式的关注不足.
结论:
- 虽然加拿大在促进协作和为医疗保健中的人工智能做好准备方面表现出色,但仍然存在关键的治理和实施差距.
- 目前的框架缺乏持续监测,确保公平性和确保长期财务可行性的必要组成部分.
- 解决这些缺陷对于将人工智能负责任和公平地整合到加拿大医疗保健系统至关重要.
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