Research on the implementation strategy of algorithmic fairness under the framework of social research

社会化研究框架下算法公平性的实现策略研究

Authors

  • Zhang Guihong University of Science and Technology of China
  • Deng Ketao School of Humanities and Social Sciences, University of Science and Technology of China

Keywords:

Algorithmic fairness, Algorithmic bias, Disclosive Computer Ethics, Socio-technical approach, AI and information ethics

Abstract

Algorithmic fairness is a topic of common concern in the field of artificial intelligence and information ethics. It comes from algorithm bias in algorithm decision systems. Although technicians have made much progress in avoiding algorithm bias, there is still no consensus on how to achieve algorithm fairness at the technical level. Based on this, this research first analyzes the methods and defects of realizing algorithmic fairness from the technology path. Then, along with the current criticism and revision of realizing algorithm fairness from the single technology path, it proposes a social research framework based on Brey's "Disclosive Computer Ethics", which provides a more reasonable solution to the problem of algorithmic fairness.

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Published

2024-02-27

Issue

Section

Research Article ○ Abstract Only

How to Cite

Guihong, Z., & Ketao, D. (2024). Research on the implementation strategy of algorithmic fairness under the framework of social research: 社会化研究框架下算法公平性的实现策略研究. Studies in Science of Science, 42(2), 88-104. https://casscience.cn/siss/article/view/24

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