Journal of Information Security Reserach ›› 2024, Vol. 10 ›› Issue (2): 114-.

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A Review of Algorithmic Risk and Its Governance in China#br#
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  1. (School of National Security, People’s Public Security University of China, Beijing 100038)

  • Online:2024-02-21 Published:2024-02-26

我国算法风险及其治理研究综述

李欣曹艺萱   

  1. (中国人民公安大学国家安全学院北京100038)

  • 作者简介:李欣 硕士研究生.主要研究方向为情报技术、数字治理. 2021211115@stu.ppsuc.edu.cn 曹艺萱 硕士研究生.主要研究方向为情报技术. 2022211229@stu.ppsuc.edu.cn

Abstract: In the era of digital intelligence, algorithms pervade every corner of human society. While algorithms drive the transformation towards digitization and intelligence, they also give rise to a series of issues, necessitating effective governance of increasing algorithmic risks. Firstly, algorithmic risks are categorized into four fields: law and justice, politics and governance, information dissemination and business and economy. Then the formation mechanisms of algorithmic risk are analyzed, encompassing algorithm black box, algorithm discrimination and power alienation. Finally, a governance strategy framework is proposed, consisting of three paths: technology regulation, power and responsibility normative, and ecological optimization. The research systematically presents the progress and development trend of algorithmic risk and its governance in China, providing reference for advancing the theoretical research and system construction inalgorithmic risk governance.

Key words: algorithmic risk, algorithm governance, algorithm regulation, artificial intelligence, digital governance

摘要: 数智时代,算法已然渗透人类社会的每一个角落.算法驱动数字化、智能化转型的同时,也催生出一系列问题,日益加剧的算法风险亟需有效治理.首先,将算法风险划分为法律司法、政治治理、信息传播、商业经济4大领域,然后剖析算法风险形成机理,涵盖算法黑箱、算法歧视以及权力异化3个维度,最后提出算法风险治理框架,具体可分为技术规制、权责规范以及生态优化3条路径,较为系统地展现了我国算法风险及其治理的研究进展与发展动向,为推进我国算法风险治理理论研究与体系建设提供参考.

关键词: 算法风险, 算法治理, 算法规制, 人工智能, 数字治理

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