Centre for Research Ethics and Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden.
Institute for Futures Studies, Stockholm, Sweden.
BMC Med Ethics. 2022 Apr 11;23(1):41. doi: 10.1186/s12910-022-00779-8.
Health data-driven activities have become central in diverse fields (research, AI development, wearables, etc.), and new ethical challenges have arisen with regards to privacy, integrity, and appropriateness of use. To ensure the protection of individuals' fundamental rights and freedoms in a changing environment, including their right to the protection of personal data, we aim to identify the ethical approaches adopted by scientists during intensive data exploitation when collecting, using, or sharing peoples' health data.
Twelve scientists who were collecting, using, or sharing health data in different contexts in Sweden, were interviewed. We used systematic expert interviews to access these scientists' specialist knowledge, and analysed the interviews with thematic analysis. Phrases, sentences, or paragraphs through which ethical values and norms were expressed, were identified and coded. Codes that reflected similar concepts were grouped, subcategories were formulated, and categories were connected to traditional ethical approaches.
Through several examples, the respondents expressed four different ethical approaches, which formed the main conceptual categories: consideration of consequences, respect for rights, procedural compliance, and being professional.
To a large extent, the scientists' ethical approaches were consistent with ethical and legal principles. Data sharing was considered important and worth pursuing, even though it is difficult. An awareness of the complex issues involved in data sharing was reflected from different perspectives, and the respondents commonly perceived a general lack of practical procedures that would by default ensure ethical and legally compliant data collection and sharing. We suggest that it is an opportune time to move on from policy discussions to practical technological ethics-by-design solutions that integrate these principles into practice.
健康数据驱动的活动已成为各个领域(研究、人工智能开发、可穿戴设备等)的核心,并且在隐私、完整性和使用适当性方面出现了新的伦理挑战。为了确保在不断变化的环境中保护个人的基本权利和自由,包括他们保护个人数据的权利,我们旨在确定科学家在密集数据开发过程中在收集、使用或共享人们的健康数据时所采用的伦理方法。
我们采访了 12 位在瑞典不同背景下收集、使用或共享健康数据的科学家。我们使用系统的专家访谈来获取这些科学家的专业知识,并对访谈进行主题分析。确定并编码了表达伦理价值观和规范的短语、句子或段落。反映类似概念的代码被分组,形成子类别,并将类别与传统的伦理方法联系起来。
通过几个例子,受访者表达了四种不同的伦理方法,这构成了主要的概念类别:后果考虑、尊重权利、程序遵守和专业精神。
在很大程度上,科学家的伦理方法符合伦理和法律原则。数据共享被认为是重要的,值得追求的,尽管这很困难。从不同的角度反映了对数据共享所涉及的复杂问题的认识,受访者普遍认为缺乏默认确保伦理和法律合规的数据收集和共享的实际程序。我们建议,现在是从政策讨论转向实用的技术伦理设计解决方案的时候了,这些解决方案将这些原则纳入实践。