In the era of artificial intelligence, data factor marketization is an inevitable trend in the development of the digital economy, while privacy security risks are its core challenges. Focusing on the contradiction, this paper systematically analyses the connotative characteristics of data factor marketization and the multi-dimensional value of privacy security. Combined with the explosive growth of the global data market, it diagnoses the prominent privacy security issues from three aspects: technology, legal regulation, and social ethics. The study proposes a technology-law-market trinity trade-off mechanism: in terms of technical methods, it relies on homomorphic encryption, multi-party secure computation, and other technologies to achieve the usable but invisible effect; in terms of legal regulation, it improves the ownership definition and dynamic revision mechanism, and strengthens coordinated supervision and law enforcement deterrence; in the market dimension, it constructs flexible constraints through transaction norms, quality standards, and industry self-regulation. This mechanism provides a solution for balancing the release of data factor value and the protection of privacy security, facilitates the coordinated development of the digital economy, and offers references for interdisciplinary research, policy formulation, and enterprise practice.

Haojie Sun, Xiaodong Tang. Research on the Trade-off Mechanism between Data Factor Marketization and Privacy Security in the Artificial Intelligence Era. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 11: 32-37. https://doi.org/10.25236/AJCIS.2025.081104.

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