探索与争鸣 ›› 2022, Vol. 1 ›› Issue (4): 37-46.

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“东数西算”与科技伦理治理|数据时代的道德责任解析:从信任到结构

闫宏秀   

  • 出版日期:2022-04-24 发布日期:2022-04-24

Analysis of Moral Responsibility in the Data Age: From Trust to Construct

  • Online:2022-04-24 Published:2022-04-24

摘要:

基于数据科学与数据技术的人类行为所带来的道德责任问题是数据时代必须面对的一个核心问题。数据的智能化、多代理、全球化等特征使得关于道德责任问题的探讨从以人为中心的路径,走向人与技术的复合体,并将道德责任与人类对技术的信任问题关联在一起,由此引发了关于道德责任主体界定的争议。基于数据科学与数据技术的分布式道德责任虽然呈现出了数据时代道德责任的新特征,但尚未能有效诠释数据科学与数据技术的全球化与网络化特征,且不能满足充分释放数据要素潜能的需求。因此,需要从顶层逻辑的视角,构建一种动态的、基于多元代理的结构式道德责任,并与分布式道德责任相融合,共同构筑良好的数字生态环境,助推数据潜能的激活。

关键词: 数据智能, 分布式道德责任, 结构式道德责任, 技术伦理

Abstract:

The issue of moral responsibility caused by human behavior based on data science and data technology is a core issue that must be faced in the data age. The characteristics of data intelligence, multi-agency, and globalization have made the discussion of moral responsibility issues move from the human-centered approach to the complex of people and technology, and associated moral responsibility with the issue of human trust in technology, and has triggered controversies about the subject of moral responsibility. Although the distributed moral responsibility based on data science and data technology presents the new characteristics of moral responsibility in the data age, it has not yet been able to effectively interpret the globalization and networking characteristics of data science and data technology, and cannot meet the needs of fully releasing data elements. Therefore, a structural moral responsibility based on dynamics and multi-agent is needed to integrate with a distributed moral responsibility to jointly build a good digital environment and unlock the potential of data.

Key words: data intelligence, distributed moral responsibility, structural moral responsibility, technical ethics