Human-Centric Versus State-Driven

This research examines the contrasting artificial intelligence (AI) governance strategies of the European Union (EU) and China, focusing on the dichotomy between human-centric and state-driven policies. The EU's approach, exemplified by the EU AI Act, emphasizes transparency, fairness, and individual rights protection, enforcing strict regulations for high-risk AI applications to build public trust. Conversely, China's state-driven model prioritizes rapid AI deployment and national security, often at the expense of individual privacy, as seen through its flexible regulatory framework and substantial investment in AI innovation. By applying the United States' National Institute of Standards and Technology (NIST) AI Risk Management Framework's Map, Measure, Manage, and Govern functions, this study explores how both regions balance technological advancement with ethical oversight. The study ultimately suggests that a harmonized approach, integrating elements of both models, could promote responsible global AI development and regulation.

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Publication Details

Journal
International Journal of Intelligent Information Technologies
Published
2025-01-16
DOI
https://doi.org/10.4018/ijiit.367471
Citations
6
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
8.59

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article

Human-Centric Versus State-Driven

John R. McIntyre, Anshu Saxena Arora, Amit Arora, Luisa Saboia
6 citations
International Journal of Intelligent Information Technologies
Embodied and Extended Cognition
8.59
article

Human-Centric Versus State-Driven

John R. McIntyre, Anshu Saxena Arora, Amit Arora, Luisa Saboia
article en
6 citations

Abstract

This research examines the contrasting artificial intelligence (AI) governance strategies of the European Union (EU) and China, focusing on the dichotomy between human-centric and state-driven policies. The EU's approach, exemplified by the EU AI Act, emphasizes transparency, fairness, and individual rights protection, enforcing strict regulations for high-risk AI applications to build public trust. Conversely, China's state-driven model prioritizes rapid AI deployment and national security, often at the expense of individual privacy, as seen through its flexible regulatory framework and substantial investment in AI innovation. By applying the United States' National Institute of Standards and Technology (NIST) AI Risk Management Framework's Map, Measure, Manage, and Govern functions, this study explores how both regions balance technological advancement with ethical oversight. The study ultimately suggests that a harmonized approach, integrating elements of both models, could promote responsible global AI development and regulation.

International Journal of Intelligent Information TechnologiesVol. 21(1)
Georgia Institute of Technology (US), University of the District of Columbia (US)
National Science Foundation, U.S. Department of Defense, Georgia Southern University, European Commission, Division of Graduate Education
Openalex Percentile: Top 3%
Embodied and Extended Cognition
8.59
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Human-Centric Versus State-Driven — John R. McIntyre, Anshu Saxena Arora, et al. · International Journal of Intelligent Information Technologies (2025) | TGRS Research Map | TGRS