为法医科学提供一个负责任的人工智能框架
Janet Stacey1, Rachel Fleming1, Dion Sheppard1
1Institute of Environmental Science and Research (ESR), 120 Mount Albert Road, Sandringham, Auckland 1025, New Zealand.
Forensic science international
|July 9, 2025
概括
一个新的负责任的人工智能框架 (RAIF) 解决了在法医科学中需要详细的操作指南的需求. 该框架支持人工智能 (AI) 项目的安全开发和实施,平衡风险和机会.
科学领域:
- 法医科学 法医科学 法医科学
- 人工智能的人工智能
- 技术 伦理 技术道德
背景情况:
- 人工智能 (AI) 和法医科学中自动化工作流程的日益集成,需要强有力的治理.
- 现有的人工智能指南缺乏在法医组织内实际实施所需的操作细节.
- 迫切需要一个结构化的方法来确保人工智能工具适合在法医应用中的目的.
研究的目的:
- 制定一个全面的框架,用于负责开发和实施AI在法医科学.
- 为组织提供必要的工具,使人工智能治理变得可操作.
- 在法医部门内建立对使用人工智能技术的信心.
主要方法:
- 对现有的AI指南和政策进行了审查.
- 一个负责任的人工智能框架 (RAIF) 被开发出来,包括三个关键组成部分:一个问卷,一个指导方针文件和一个项目注册表.
- 创建了一个工作示例,将RAIF应用于特定的法医AI解决方案 (Lumi药物扫描).
主要成果:
- 该RAIF提供了一个详细的,可操作的结构,用于在法医环境中管理AI项目.
- 该框架促进了一种平衡的方法,利用人工智能机会,同时减轻相关风险.
- 雷夫的组件,一起使用,增强一个组织的能力,自信地部署AI解决方案.
结论:
- 负责任的人工智能框架 (RAIF) 为在法医科学中实施人工智能的运营挑战提供了实际解决方案.
- 该RAIF促进安全,可靠和道德的人工智能部署,这对于保持公众信任和科学完整性至关重要.
- 该框架具有适应性,适用于法医组织内的各种人工智能项目,正如Lumi药物扫描示例所示.
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