理性与责任：通往（全球）公共卫生领域道德人工智能的路径
Reason and responsibility as a path toward ethical AI for (global) public health.
作者信息
Antao Esther-Maria, Rasheed Aadil, Näher Anatol-Fiete, Wieler Lothar H
机构信息
Hasso Plattner Institute for Digital Engineering, Digital Global Public Health, Digital Engineering, University of Potsdam, Rudolf-Breitscheid-Str. 187, D-14482, Potsdam, Germany.
出版信息
NPJ Digit Med. 2025 Jun 3;8(1):329. doi: 10.1038/s41746-025-01707-x.
AI can enhance public health practice, but it requires careful consideration of ethical implications. We propose a reason-based framework to guide AI co-design and use for public health. AI systems must be developed with public health expertise, lived experience insights, and human accountability to ensure responsible outcomes. We advocate for ethical principles to be embedded throughout the AI lifecycle, thus proactively addressing risks while reinforcing trust in public health practice.
人工智能可以提升公共卫生实践，但需要仔细考虑其伦理影响。我们提出一个基于理由的框架，以指导人工智能在公共卫生领域的协同设计和应用。人工智能系统的开发必须具备公共卫生专业知识、实际生活经验见解以及人类的责任感，以确保产生负责任的结果。我们主张在人工智能的整个生命周期中都融入伦理原则，从而在加强对公共卫生实践信任的同时，积极应对风险。
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