利用人工智能推进实施科学:潜在的机会和警告
Katy E Trinkley1,2,3,4, Ruopeng An5, Anna M Maw6,7
1Department of Family Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. katy.trinkley@cuanschutz.edu.
Implementation science : IS
|February 21, 2024
概括
人工智能 (AI) 可以通过解决速度,可持续性和公平性方面的挑战来加速实施科学. 负责任的人工智能整合需要跨学科的合作,以确保在弥合证据与实践之间的差距方面进行道德和最佳的使用.
科学领域:
- 实施科学 实施科学
- 人工智能的人工智能
- 卫生系统研究 卫生系统研究
背景情况:
- 实施科学旨在减少基于证据的实践与其广泛采用之间的延迟.
- 尽管取得了进展,但在缩小证据与实践之间的差距方面仍然存在重大挑战,特别是关于速度,因果关系和机制.
- 人工智能 (AI) 的出现为增强实施科学方法和解决现有局限性提供了新的机会.
研究的目的:
- 探索人工智能如何解决实施科学中的关键挑战.
- 确定将人工智能整合到实施科学中的潜在好处和陷.
- 为在实施研究和实践中负责任地采用人工智能提供指导.
主要方法:
- 在实施科学框架内讨论人工智能应用.
- 分析人工智能对速度,可持续性,公平性,概括性,上下文评估和因果关系的潜在影响.
- 包括来自全球卫生,公共卫生和精确健康的例子.
主要成果:
- 人工智能为加快实施,提高可持续性和公平性,增强通用性提供了潜在的解决方案.
- 人工智能可以帮助评估上下文-结果关系和阐明因果机制.
- 必须仔细考虑和监控人工智能集成的潜在危险和意外后果.
结论:
- 人工智能对推进实施科学和缩小证据与实践之间的差距具有重大前景.
- 积极评估人工智能的意想不到的后果和道德考虑是至关重要的.
- 建议跨学科合作,包括人工智能交叉培训实施科学家,以实现最佳和道德的人工智能利用.
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