大型多式联运模式:给低收入和中等收入国家带来好处或负担
Rohit Malpani1, Keymanthri Moodley2
1World Health Organization, Research for Health Department, Avenue Appia 20, Geneva 1211, Switzerland.
International health
|January 9, 2025
概括
大型多式联运模式,是一种生成性人工智能 (AI),可以推进全民健康覆盖. 积极的道德考虑和治理对于负责任的设计和部署这些强大的AI工具至关重要.
科学领域:
- 人工智能的人工智能
- 公共卫生 公共卫生
- 生物伦理学生物伦理学
背景情况:
- 生成型人工智能 (AI),特别是大型多式模式 (LMM),为全球卫生倡议提供了机会.
- 实现全民健康覆盖 (UHC) 是一个关键的全球卫生目标.
- 人工智能部署中的伦理考虑对于公平的访问和结果至关重要.
研究的目的:
- 探索LMMs在支持全民健康覆盖的潜力.
- 识别和解决与医疗保健中LMMs相关的伦理挑战.
- 为公共卫生中有效和道德地使用LMMs提供指导.
主要方法:
- 审查当前的AI能力在多式联络数据处理.
- 对医疗保健中的AI相关的伦理框架的分析.
- 世界卫生组织 (WHO) 关于人工智能治理建议的综合.
主要成果:
- 临床医疗机器为改善医疗保健提供和可访问性提供了巨大的潜力.
- 关键的伦理风险包括数据隐私,算法偏见和问责制.
- 世卫组织的指导强调风险-收益方法和强大的治理结构.
结论:
- 将LMM整合到医疗保健中需要谨慎的伦理导航.
- 积极的治理对于利用LMM对UHC的好处至关重要.
- 世卫组织的指导方针为全球卫生领域的负责任人工智能创新提供了一个框架.
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