AI-Native for Data Intelligence: Constructing a Conceptual System and Evolution Framework from an International Standardization Perspective
As artificial intelligence becomes deeply embedded in communication networks, software architectures, and industrial systems, AI-Native has fundamentally changed the system design, operation, and governance. Despite its growing influence, the concept of AI-Native remains ambiguously defined across domains, creating cognitive fragmentation and regulatory uncertainty. To harmonize different understandings and avoid confusions, this study develops a conceptual system and maturity evolution framework for AI-Native from an international standardization perspective, offering a structured foundation for both theoretical clarification and practical governance.
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