在可穿戴设备的AI系统中隐私,道德,透明度和问责制
1Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Frontiers in digital health
|July 2, 2025
概括
可穿戴传感器中的人工智能 (AI) 提供了先进的健康监测,但也引发了伦理方面的担忧. 本研究提出了负责人工智能开发的框架,确保医疗保健应用程序的透明度,问责制和监管合规性.
科学领域:
- 健康 数据科学 数据科学
- 人工智能的人工智能
- 可穿戴式传感器技术
背景情况:
- 人工智能和机器学习在可穿戴设备中的整合推动了健康数据科学的发展,使持续监测和个性化干预成为可能.
- 快速的技术进步引入了重大的伦理和监管挑战,包括数据隐私,算法偏见和缺乏透明度.
- 现有的框架难以应对不受监管的数据聚合和偏见的AI模型在医疗保健中的风险.
研究的目的:
- 系统地检查人工智能驱动的可穿戴健康技术的伦理和监管挑战.
- 识别与数据隐私,算法偏见和不透明决策相关的风险.
- 为可穿戴医疗保健中负责任的人工智能开发提出一个方法框架.
主要方法:
- 系统地检查道德和监管方面的挑战.
- 对当前隐私框架的分析和对公共数据集的实证评估.
- 开发一个数据驱动的方法框架,包括可解释的AI和偏见缓解.
主要成果:
- 在人口群体之间的AI模型性能中发现了显著的差异.
- 暴露了人工智能健康应用技术设计和伦理治理方面的漏洞.
- 引入了一个方法框架,以嵌入透明度,问责制和监管调整.
结论:
- 拟议的框架将人工智能开发在可穿戴医疗保健中的伦理原则实施.
- 它符合GDPR和欧盟人工智能法等法律标准,促进负责任的创新.
- 倡导均衡的监管方法,以确保公平,安全和可靠的AI驱动健康监测.
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