实用,强大的实施和可持续性 (PRISM) 能力模型用于在社区参与的实施科学研究中使用人工智能
Nabila El-Bassel1, James David2, Trena I Mukherjee2
1School of Social Work, Columbia University, New York City, United States. ne5@columbia.edu.
Implementation science : IS
|August 7, 2025
概括
本研究介绍了PRISM-Capabilities模型,这是一个以人为中心的框架,用于将人工智能 (AI) 整合到社区参与研究 (CER) 中. 该模型确保人工智能增强公共卫生倡议中的协作,透明度和包容性.
科学领域:
- 公共卫生研究 公共卫生研究
- 实施科学 实施科学
- 人工智能伦理学 人工智能伦理学
背景情况:
- 参与社区的研究 (CER) 涉及研究人员和社区之间的合作,以应对公共卫生挑战.
- 人工智能 (AI) 具有提高CER效率,包容性和影响的潜力.
- 在CER中人工智能的伦理和社会影响需要仔细考虑.
研究的目的:
- 在CER中引入用于AI的PRISM-Capabilities模型.
- 促进以人为中心的方法,强调合作,透明度和包容性.
- 在社区参与的实施科学中为负责任的AI整合提供框架.
主要方法:
- PRISM-Capabilities模型包括六个组成部分,涉及道德问题,信任,透明度和社区对人工智能的理解.
- 该模型是为社区参与的实施科学研究量身定制的.
- 建议使用HEALing社区研究 (HCS) 验证该模型.
主要成果:
- PRISM-Capabilities模型由六个组成部分组成:参与优化,实施者/设置者/接受者特征,公平评估,基础设施,外部环境和道德评估.
- 人工智能将被利用在HCS内部进行后期分析,以验证PRISM-Capabilities模型.
- 该模型解释了社会科学问题中的复杂性,并将人工智能置于传统方法的瓶.
结论:
- 在CER中的AI应该以以人为中心的原则为指导,以实现负责任的AI实践.
- PRISM-Capabilities模型为将AI整合到CER提供了一个框架.
- 这种方法增强了合作,并解决了现实世界社会科学研究中的挑战.
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