Journal of Information Resources Management ›› 2023, Vol. 13 ›› Issue (1): 52-64.doi: 10.13365/j.jirm.2023.01.052

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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

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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