东北大学学报(社会科学版) ›› 2024, Vol. 26 ›› Issue (6): 28-35.DOI: 10.15936/j.cnki.1008-3758.2024.06.004

• 科技哲学研究 • 上一篇    下一篇

算法信任的本质问题探析:从概念到构成

宋胜男,闫宏秀   

  1. (上海交通大学马克思主义学院,上海200240)
  • 发布日期:2024-12-06
  • 通讯作者: 宋胜男
  • 作者简介:宋胜男(1996-),女,浙江金华人,上海交通大学博士研究生,主要从事科学技术哲学研究;闫宏秀(1974-),女,山西平遥人,上海交通大学教授,博士生导师,主要从事技术哲学、数据伦理研究。
  • 基金资助:
    教育部哲学社会科学研究重大课题攻关资助项目(23JZD005)。

On the Essential Issue of Algorithmic Trust: From Concept to Composition

SONG Shengnan, YAN Hongxiu   

  1. (School of Marxism, Shanghai Jiao Tong University, Shanghai 200240, China)
  • Published:2024-12-06
  • Contact: -
  • About author:-
  • Supported by:
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摘要: 信任是构成人类文明的基石。随着社会向数字化转型,算法信任作为技术信任与人际信任融合的产物,适应了数字化转型社会的需求,成为人工智能伦理研究中的关键议题。算法给人们的生活带来了便利,但其应用中的缺陷也引发了不可回避的信任危机,这将关系到社会生活公私领域的有序运行。因此,为了促进数字化转型社会的整体信任环境的改善,并防范技术风险,需要从技术演进出发,探究算法信任的内在本质和概念特征,明确其构成逻辑。这将有助于重构数字化转型社会的伦理秩序,强化法律规制,规避潜在风险,确保社会生活的有序运行,确保人类的利益和福祉得到保护。

关键词: 算法信任; 数字化转型社会; 信任调节; 信任结构

Abstract: Trust is the cornerstone that constitutes human civilization. As society transitions to digitalization, algorithmic trust, as a product of the integration of technological trust and interpersonal trust, has adapted to the needs of a digitally transformed society and has become a key issue in the study of AI ethics. Algorithms have brought convenience to people's lives, but the flaws in their application have also triggered an inescapable trust crisis, which will affect the orderly operation of public and private areas of social life. Therefore, in order to promote the improvement of the overall trust environment in the digitally transformed society and to prevent technological risks, it is necessary to explore the intrinsic nature and conceptual characteristics of algorithmic trust from the perspective of technological evolution, and to clarify its constitutive logic. This will help reconstruct the ethical order of the digitally transformed society, strengthen legal regulation, avoid potential risks, ensure the orderly operation of social life, and guarantee the protection of human interests and well-being.

Key words: algorithmic trust; digitally transformed society; trust regulation; trust structure

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