人工智能治理:公共卫生面临的挑战
Jennifer K Wagner1,2,3,4,5,6,7, Megan Doerr8, Cason D Schmit9
1School of Engineering Design and Innovation, Penn State University, University Park, PA, United States.
JMIR public health and surveillance
|September 30, 2024
概括
公共卫生原则可以指导人工智能 (AI) 的治理. 整合降低危害和健康的社会决定因素等概念可以创造公平的AI发展,并最大限度地提高公共卫生效益.
科学领域:
- 公共卫生 公共卫生
- 人工智能治理管理 人工智能治理
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地通过算法来塑造健康的社会决定因素.
- 人工智能为公共卫生的进步提供了巨大的潜力,包括精准医学.
- 建立有效的AI治理来平衡利益和风险仍然是一个关键的挑战.
研究的目的:
- 探索公共卫生概念如何增强人工智能 (AI) 治理框架.
- 确定最大限度地提高人工智能的公共卫生效益的策略,同时降低风险.
- 为卫生领域负责任的AI开发提出综合方法.
主要方法:
- 公共卫生理论应用于人工智能治理挑战.
- 对监管方法的降低危害原则的分析.
- 将健康理解的社会决定因素纳入人工智能风险效益评估.
- 在个人和集体利益的交集处,利用公共卫生伦理进行决策.
- 为整体的人工智能治理采用"一个健康"方法.
主要成果:
- 减少危害为人工智能监管提供了一个平衡的框架.
- 了解健康的社会决定因素对于评估人工智能的影响至关重要.
- 公共卫生伦理为导航复杂的人工智能治理决策提供了工具.
- 一个健康的方法提高了AI治理的有效性和公共卫生结果.
结论:
- 公共卫生观点显著丰富了AI治理.
- 整合公共卫生概念可以促进更公平,更有利于社会的人工智能发展.
- 基于公共卫生的AI治理可以带来改善人口健康结果.
关键词:
在这里,我们可以看到AIAIAI.人工智能治理 AI治理人工智能的人工智能是人工智能.参与 参与 参与 参与减少伤害 减少伤害看不见的算法,看不见的算法.法律法规和法律惯例.现代生活 现代生活一个健康的健康.公共卫生公共卫生.健康的社会决定因素软法是一种软法.传统的监管方式更多相关视频
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