信息资源管理学报 ›› 2023, Vol. 13 ›› Issue (1): 52-64.doi: 10.13365/j.jirm.2023.01.052

• 研究论文 • 上一篇    下一篇

美国数据与算法安全治理:进路、特征与启示

马海群1 蔡庆平2 崔文波2 张涛2   

  1. 1.黑龙江大学信息资源管理研究中心; 
    2.黑龙江大学信息管理学院,哈尔滨,150080
  • 出版日期:2023-01-26 发布日期:2023-03-17
  • 作者简介:马海群,博士,教授,博士生导师,研究方向为信息政策与法律;蔡庆平(通讯作者),博士,讲师,研究方向为数据挖掘与分析,Email:caiqingping@hlju.edu.cn;崔文波,硕士生,研究方向为数据分析与知识发现;张涛,博士生,副教授,硕士生导师,研究方向为政策文本计算与数据分析。
  • 基金资助:
    本文系国家社科基金重大项目“面向数字化发展的公共数据开放利用体系与能力建设研究”(21&ZD336)的成果之一。

Data and Algorithm Security Governance in the United States: Approaches, Characteristics and Enlightenments

Ma Haiqun1 Cai Qingping2 Cui Wenbo2 Zhang Tao2   

  1. 1. Research Center of Information Resource Management, Heilongjiang University;
    2. School of Information Management, Heilongjiang University, Harbin 150080
  • Online:2023-01-26 Published:2023-03-17

摘要: 新科技革命和产业变革将重塑全球经济,数据与算法成为新科技革命的重要驱动,同时也衍生出一系列安全风险。长期以来美国对数据与算法安全治理十分重视,研究美国数据与算法安全治理特征,能够对我国建立并完善数据与算法安全治理机制与体系发挥重要作用。本文从联邦政府、州和地方政府治理制度及机构两个维度入手,系统梳理美国数据与算法安全相关制度及机构权责,以研究美国数据与算法安全的治理进路,并综合治理进路从治理制度和治理机构两个方面总结其治理特征。最终基于治理特征并结合我国治理现状提出四点建议:构建“分领域、精细化、多层次”的个人隐私数据安全监管体系,构建“硬法到协同”的数据与算法安全治理机制,建立具有“国际话语权”的人工智能伦理规范,建立“层次分明、多方共治”的协同治理机构。

关键词: 数据安全, 算法安全, 人工智能伦理, 数据治理, 算法治理

Abstract: The new technological revolution and industrial transformation will reshape the global economy.Data and algorithms become an important driver of the new technological revolution, which also gives rise to a series of security risks. The United States has long attached great importance to data and algorithm security governance, and the study of data and algorithm security governance characteristics in the United States can play an important role in establishing and improving data and algorithm security governance mechanisms and systems in China. Starting from two dimensions of federal government, state and local government governance systems and institutions, it systematically sorts out the systems and institutional powers and responsibilities related to data and algorithm security in the United States, in order to realize the governance approach of data and algorithm security in the United States, and summarize its governance characteristics from two aspects of governance system and governance institution. Finally, four recommendations are made in the light of the current situation of governance in China: to build a "sub-field, refined, multi-level" personal privacy data security regulatory system; to build a "hardlaw for coordination" data and algorithm security governance mechanism; to establish an AI ethics code with " International discourse power"; to establish a "hierarchical, multi-party governancing" collaborative governance institution.

Key words: Data security, Algorithm security, Artificial intelligence ethics, Data governance, Algorithm governance

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