带有分层可访问信息的透明模型卡片能否推动健康人工智能中的信任与安全？

Could transparent model cards with layered accessible information drive trust and safety in health AI?

作者信息

Gilbert Stephen, Adler Rasmus, Holoyad Taras, Weicken Eva

机构信息

Else Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.

Fraunhofer Institute for Experimental Software Engineering (IESE), Kaiserslautern, Germany.

出版信息

NPJ Digit Med. 2025 Feb 25;8(1):124. doi: 10.1038/s41746-025-01482-9.

DOI:10.1038/s41746-025-01482-9

PMID:40000736

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11861263/

Abstract

We place ‘Model Cards’ and graphical ‘nutrition labels’ for health AI in context with the information needs of patients, health care providers and deployers. We discuss the applicability of Model Cards for General Purpose AI (GPAI) models. If these approaches are to be useful and safe they need to be integrated with regulatory approaches and linked to deeper layers of open and detailed model information and optimized through user testing.

摘要

我们将健康人工智能的“模型卡片”和图形化“营养标签”与患者、医疗保健提供者和部署者的信息需求相结合。我们讨论了通用人工智能（GPAI）模型的模型卡片的适用性。如果这些方法要有用且安全，就需要与监管方法相结合，并与更深入的开放且详细的模型信息层相联系，并通过用户测试进行优化。