Leuenberger Muriel
Center for Ethics, University of Zurich, Zollikerstrasse 117, 8008 Zurich, Switzerland.
Philos Technol. 2024;37(1):13. doi: 10.1007/s13347-024-00704-4. Epub 2024 Jan 27.
Novel technological devices, applications, and algorithms can provide us with a vast amount of personal information about ourselves. Given that we have ethical and practical reasons to pursue self-knowledge, should we use technology to increase our self-knowledge? And which ethical issues arise from the pursuit of technologically sourced self-knowledge? In this paper, I explore these questions in relation to bioinformation technologies (health and activity trackers, DTC genetic testing, and DTC neurotechnologies) and algorithmic profiling used for recommender systems, targeted advertising, and technologically supported decision-making. First, I distinguish between impersonal, critical, and relational self-knowledge. Relational self-knowledge is a so far neglected dimension of self-knowledge which is introduced in this paper. Next, I investigate the contribution of these technologies to the three types of self-knowledge and uncover the connected ethical concerns. Technology can provide a lot of impersonal self-knowledge, but we should focus on the quality of the information which tends to be particularly insufficient for marginalized groups. In terms of critical self-knowledge, the nature of technologically sourced personal information typically impedes critical engagement. The value of relational self-knowledge speaks in favour of transparency of information technology, notably for algorithms that are involved in decision-making about individuals. Moreover, bioinformation technologies and digital profiling shape the concepts and norms that define us. We should ensure they not only serve commercial interests but our identity and self-knowledge interests.
新型技术设备、应用程序和算法能够为我们提供大量关于自身的个人信息。鉴于我们有道德和实际的理由去追求自我认知,我们是否应该利用技术来增进自我认知呢?而追求通过技术获取的自我认知又会引发哪些伦理问题呢?在本文中,我将围绕生物信息技术(健康与活动追踪器、直接面向消费者的基因检测以及直接面向消费者的神经技术)以及用于推荐系统、定向广告和技术支持决策的算法剖析来探讨这些问题。首先,我区分了客观的、批判性的和关系性的自我认知。关系性自我认知是本文引入的一个迄今被忽视的自我认知维度。接下来,我研究这些技术对这三种自我认知类型的贡献,并揭示相关的伦理问题。技术能够提供大量客观的自我认知,但我们应关注信息的质量,而这对边缘化群体来说往往尤为不足。就批判性自我认知而言,通过技术获取的个人信息的性质通常会阻碍批判性参与。关系性自我认知的价值表明信息技术应保持透明,特别是对于涉及个人决策的算法。此外,生物信息技术和数字剖析塑造了定义我们的概念和规范。我们应确保它们不仅服务于商业利益,还要服务于我们的身份和自我认知利益。