Research on the Connotation Evolution and Key Issues of the "Domain" in Data Circulation and Utilization Under the Background of Artificial Intelligence

Xiaoping Zhong

doi:10.70088/vjc3rd83

Authors

Xiaoping Zhong Shanghai Zhongqiao Vocational and Technical University, Shanghai, China Author

DOI:

https://doi.org/10.70088/vjc3rd83

Keywords:

artificial intelligence, data circulation, data governance, privacy protection, data security

Abstract

The rapid development of artificial intelligence has highlighted data as a core production factor in the digital economy, while privacy protection, security risks, and compliance constraints continue to restrict the potential of data circulation and utilization. In this context, the concept of the "domain" provides a new analytical perspective for defining the boundaries, responsibilities, and conditions of lawful and efficient data use. This paper systematically examines the connotation evolution of the "domain" in data circulation, tracing its transformation from a purely technical or physical scope to a comprehensive socio-technical governance space that integrates legal, organizational, and technological dimensions. It analyzes key issues including legal frameworks for data privacy, security and encryption measures, standardization of data classification and access rules, differences between domestic and foreign regulatory practices, and the innovation of multi-stakeholder governance models. The study argues that clarifying domain boundaries can standardize data circulation processes, reduce risks of leakage, abuse, and unauthorized cross-border transfer, and support the construction of transparent and auditable data flow mechanisms. Furthermore, driven by blockchain, the Internet of Things, and other emerging technologies, the design of dynamic, scenario-based domains tailored to industry characteristics will become a central topic in the marketization of data elements. Finally, the paper emphasizes that a sound policy, regulatory, and governance framework is essential to safeguard healthy data circulation and promote sustainable, innovation-driven digital economic development.

References

H. You, J. Xianjuan, and G. Xin, Radar data processing with applications. John Wiley & Sons, 2016.

S. Xiong, D. He, Z. Wang, and R. Du, "Review of federated learning and its security and privacy protection," Jisuanji Gongcheng/Computer Engineering, vol. 50, no. 5, pp. 1–15, 2024.

P. Brézillon, "Context in Artificial Intelligence: I. A survey of the literature," Comput. Artif. Intell., vol. 18, no. 4, pp. 321–340, 1999.

D. C. Bikkasani, "Navigating artificial general intelligence (AGI): Societal implications, ethical considerations, and governance strategies," AI and Ethics, vol. 5, no. 3, pp. 2021–2036, 2025.

E. Rieder, M. Schmuck, and A. Tugui, "A scientific perspective on using artificial intelligence in sustainable urban development," Big Data and Cognitive Computing, vol. 7, no. 1, p. 3, 2022.

U. V. Aristova, A. Y. Rolich, A. D. Staruseva-Persheeva, and A. O. Rolich, "Digital museum transformation: From a collection of exhibits to a gamut of emotions," in International Conference on Digital Transformation and Global Society, Cham: Springer International Publishing, 2020, pp. 419–435.

D. Luo, "Ximalaya FM: Empowering the Sound Economy and the Evolution of China's Audio Industry," in Cases on Chinese Unicorns and the Development of Startups, IGI Global Scientific Publishing, 2025, pp. 347–364.

N. M. Malkawi, "Using electronic human resource management for organizational excellence-case study at social security corporation-Jordan," International Journal of Engineering Technologies and Management Research, vol. 5, no. 5, pp. 146–166, 2018.

Y. Zhai, J. Yan, H. Zhang, and W. Lu, "Tracing the evolution of AI: conceptualization of artificial intelligence in mass media discourse," Information Discovery and Delivery, vol. 48, no. 3, pp. 137–149, 2020.

H. Zheng, "Research on the Application of Artificial Intelligence Technology in Instructional Budget Management," Journal of Modern Education and Culture, vol. 2, no. 8, 2025.

A. Chodyński, "State support for innovation actions in public security management," Bezpieczeństwo. Teoria i Praktyka, vol. 41, no. 4, pp. 55–73, 2020.

F. Zaiter and M. Azouz, "Digital Companies: Smart Decision-Making and Knowledge Management for Adapting to Rapid Changes," Accounting & Finance/Oblìk ì Fìnansi, vol. 107, no. 1, 2025.

C. Atkinson, "Hybrid warfare and societal resilience implications for democratic governance," Information & Security, vol. 39, no. 1, pp. 63–76, 2018.

R. Girasa, *Artificial intelligence as a disruptive technology: Economic transformation and government regulation*. Springer Nature, 2020.

N. Noor, F. Arzu, S. E. Y. Qadeem, M. E. Siddique, A. Safi, and A. Qamer, "A Big Data–Driven Optimization Framework for Enterprise Financial Management: Enhancing Predictive Decision-Making, Risk Control, and Computational Efficiency," The Asian Bulletin of Big Data Management, vol. 5, no. 4, pp. 190–217, 2025.

X. Sun, S. Yang, Y. Cao, Y. Zhao, and Z. Wang, "Standardized Interface Framework for Intelligent Financial Platforms: A Pre-standardization Study," Journal of ICT Standardization, vol. 13, no. 2, pp. 181–210, 2025.

L. Theodorakopoulos, A. Theodoropoulou, and A. Bakalis, "Big data in financial risk management: evidence, advances, and open questions: a systematic review," Frontiers in Artificial Intelligence, vol. 8, p. 1658375, 2025.

C. Ulu, "The Fuel of AI in the Battlefield: Data Management and Data Governance," in *Cyber Security in the Age of Artificial Intelligence and Autonomous Weapons*, CRC Press, 2024, pp. 87–100.

G. B. Wiersma, Ed., Environmental monitoring. CRC Press, 2004.

E. A. Y. Kirillova, O. E. Blinkov, N. I. Ogneva, A. S. Vrazfinov, and N. J. V. Sergeeva, "Artificial intelligence as a new category of civil law," Journal of Advanced Research in Law and Economics, vol. 11, no. 1 (47), pp. 91–98, 2020.

M. Chen, "Developing China's approaches to regulate cross-border Data Transfer: Relaxation and integration," Computer Law & Security Review, vol. 54, p. 105997, 2024.

M. Lezzi, V. Del Vecchio, and M. Lazoi, "Using blockchain technology for sustainability and secure data management in the energy industry: Implications and future research directions," Sustainability, vol. 16, no. 18, p. 7949, 2024.

C. Liu, V. Muravskyi, and W. Wei, "Evolution of blockchain accounting literature from the perspective of CiteSpace (2013–2023)," Heliyon, vol. 10, no. 11, 2024.

D. R. Shelden, P. Pauwels, P. Pishdad-Bozorgi, and S. Tang, "Data standards and data exchange for Construction 4.0," in Construction 4.0, Routledge, 2020, pp. 222–239.

B. Mercurio and R. Yu, *Regulating Cross-Border Data Flows: Issues, Challenges and Impact*. Anthem Press, 2022.

Y. Kurtoğlu, "Artificial Intelligence Technologies, the Impact to Economic Growth, the Global Economy, and Future Professions," in *The Trade Wars of the USA, China, and the EU: The Global Economy in the Age of Populism*, 2021, p. 165.

T. Bobev, M. Fierens, and B. Peeters, "White paper on the definition of data intermediation services," 2023.

H. Cho, L. Zhang, and X. Jiang, "Paradigm of Trustworthy Data Element Circulation Transactions," in *2024 IEEE 11th International Conference on Cyber Security and Cloud Computing (CSCloud)*, 2024, pp. 107–112.

Z. H. A. N. G. Ni, "Value of Data Elements: Theoretical Origin, Difficulties and Countermeasures," Journal of Jishou University (Social Sciences Edition), vol. 45, no. 5, p. 52, 2024.

H. Zhang, "Research on enterprise digital strategy in the context of intelligent manufacturing: the application and impact of AIGC," Technology Analysis & Strategic Management, pp. 1–15, 2026.

T. Kenderdine, "China's industrial policy, strategic emerging industries and space law," Asia & the Pacific Policy Studies, vol. 4, no. 2, pp. 325–342, 2017.

A. Carruthers, "Breaking data silos," in Building the Snowflake Data Cloud: Monetizing and Democratizing Your Data, Berkeley, CA: Apress, 2022, pp. 29–50.

S. Mushtaq and Q. T. A. Hameeda, "Empowering Public Health: AI‐Powered Security Solutions for AI‐Driven Challenges," Applied AI Letters, vol. 6, no. 2, p. e119, 2025.

G. Sheng, "Analysis of the guarantee mechanism of new quality productivity in agriculture from the perspective of the rule of law," Beijing L. Rev., vol. 16, p. 1214, 2025.

C. C. Ma and Y. Huo, "Under the Background of Chinese-Style Modernization: New Changes and New Pathways in the Construction of the 'the Belt and Road'," Journal of Social Science Humanities and Literature, vol. 7, no. 4, pp. 27–34, 2024.

F. A. Ribeiro Serra, I. Cristina Scafuto, and P. Serra Vieira, "Regulation of Artificial Intelligence: Between the Switch and Innovation--Is Brazil Prepared?," BAR: Brazilian Administration Review, vol. 22, no. 4, 2025.