Digital Pathology Scanners and Contextual Integrity
Digital Pathology Scanners and Contextual Integrity
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数字病理扫描仪和上下文完整性
DOI：
10.1007/s44206-023-00085-9
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Sorell T
中科院分区：
文献类型：
--
作者：
Sorell T
我们的目标是将一般的数字病理学和特别是计算病理学都纳入海伦·尼森鲍姆的适当信息传递作为上下文完整性的理论的范围内。在第一节中，介绍了语境完整性理论的主线，并给出了为什么它不是真正意义上的隐私理论，而是一般的道德上允许的信息传递理论的理由。然后将该理论应用于(A)逐个病人的分析(第2节)和(B)计算病理学(第3节和第4节)的数字化病理图像的使用。尽管涉及个人数据的大数据练习有时被尼森鲍姆和他的同事视为对现有数据共享规范和其他社会规范的特别威胁，但我们声称，患者对患者的数字病理风险更高，至少在疫情期间采取的形式是这样。最后，我们考虑了计算病理学中的一些风险，这些风险是由于卫生机构，特别是公共部门的卫生机构和商业算法开发人员之间的互动造成的。
We aim to bring both digital pathology in general and computational pathology in particular within the scope of Helen Nissenbaum’s theory of appropriate information transfer as contextual integrity. In Section 1, the main lines of the theory of contextual integrity are introduced, and reasons are given why it is not properly speaking a theory of privacy, but rather a theory of morally permissible information transfer in general. Then the theory is applied to uses of digitised pathology images for (a) patient-by-patient analysis (Section 2); and (b) computational pathology (Sections 3 and 4). Although big data exercises involving personal data are sometimes seen by Nissenbaum and colleagues as particular threats to existing data-sharing norms and other social norms, we claim that patient-by-patient digital pathology is riskier, at least in forms it has taken during the pandemic. At the end, we consider some risks in computational pathology that are due to the interaction between health institutions, particularly in the public sector, and commercial algorithm developers.
特别报告：计算机社会中确保隐私的法律保障
DOI：
10.1145/363566.363579
发表时间：
1967
期刊：
Commun. ACM
影响因子：
--
作者：
A. Westin
通讯作者：
A. Westin