评估人工智能驱动的mHealth iOS应用程序的隐私政策
Yousra Javed1, Saaketh Bhojanam2
1School of IT, Illinois State University, Normal, IL 61761, United States.
概括
人工智能驱动的mHealth应用程序的隐私政策比2015年更容易获得,但阅读性和具体性较低. 虽然政策的存在增加了,但透明度和范围需要改进,以便更好地了解用户和数据保护.
科学领域:
- 数字健康数字健康
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 移动健康 (mHealth) 应用程序越来越多地利用人工智能 (AI).
- 确保用户隐私对于采用和道德使用人工智能驱动的mHealth工具至关重要.
- 现有的研究为广泛的人工智能集成之前的mHealth隐私政策提供了基线.
研究的目的:
- 评估AI驱动的mHealth iOS应用程序的隐私政策的可用性,可读性,透明度和范围.
- 将当前隐私政策的特征与人工智能前的基准进行比较 (Sunyaev等, 2015).
- 确定AI mHealth应用程序隐私政策沟通的改进领域.
主要方法:
- 复制的 苏尼亚耶夫等人. (2015) 对以人工智能为重点的mHealth iOS应用程序的方法.
- 编制了 2231 个 AI 驱动的 mHealth iOS 应用程序的数据集.
- 分析了可用性,字数,可读性 (弗莱什-金凯德等级),内容透明度和范围的隐私政策.
主要成果:
- 68.04%的AI mHealth应用程序具有可访问的隐私政策,比2015年的38.3%有所增加.
- 与2015年相比,政策更长 (2784个词与1755个词相比) 和阅读难度更低 (13.48个词与16年级水平相比)
- 透明度是有限的:只有15%的数据被收集,11.2%的数据是人工智能培训的使用,25%的数据是非应用特定的政策.
结论:
- 人工智能mHealth应用程序显示,GDPR后的隐私政策可用性和长度得到了改善.
- 在政策可读性,数据使用的具体性 (特别是人工智能培训) 和范围方面仍然存在重大差距.
- 需要进一步改进,以确保用户能够理解和同意AI mHealth应用程序中的数据实践.
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