Track Thyself? The Value and Ethics of Self-knowledge Through Technology.

Q1 Arts and Humanities
Philosophy and Technology Pub Date : 2024-01-01 Epub Date: 2024-01-27 DOI:10.1007/s13347-024-00704-4
Muriel Leuenberger
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Abstract

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.

追踪你自己?通过技术认识自我的价值与伦理。
新颖的技术设备、应用程序和算法可以为我们提供大量关于我们自己的个人信息。既然我们有追求自我认知的伦理和现实理由,那么我们是否应该利用技术来增加我们的自我认知?追求技术上的自我认知又会引发哪些伦理问题?在本文中,我将结合生物信息技术(健康和活动追踪器、DTC 基因检测和 DTC 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分析来探讨这些问题。首先,我将自我知识区分为非个人自我知识、临界自我知识和关系自我知识。关系型自我认知是迄今为止被忽视的自我认知维度,本文对此进行了介绍。接下来,我将研究这些技术对这三种自我认知的贡献,并揭示相关的伦理问题。技术可以提供大量非个人化的自我知识,但我们应该关注信息的质量,因为对于边缘化群体来说,信息的质量往往尤为不足。就批判性自我认识而言,技术来源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有利于信息技术的透明化,尤其是对参与个人决策的算法而言。此外,生物信息技术和数字特征分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,也服务于我们的身份和自我认知利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Philosophy and Technology
Philosophy and Technology Arts and Humanities-Philosophy
CiteScore
10.40
自引率
0.00%
发文量
98
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