Abstract: [Purpose/Significance] This paper aims to explore the multi-source flow elements and practice associations affecting the orderly development of Artificial Intelligence Generated Content（AIGC）in the human-intelligence symbiosis environment, thereby providing reference for the regulation and compliance governance of AIGC. [Design/Methodology] Starting from the perspective of multi-source flow, combining multi-case studies and event path analysis, this study carried out a multi-level coding. By using risk element to adjust the problematic source flow, timing element to adjust the policy source flow, and potential energy and atmosphere element to adjust the political source flow, we constructed a multi-source flow coupling model for AIGC regulatory and compliance governance. [Findings/Conclusion] The multi-source flow coupling is analyzed from the aspects of practice feedback, policy intervention timing, political potential energy, international competition and cooperation, leading to the proposal of quality enhancement strategy that meets the needs of modern regulatory context and the requirements of compliance governance. [Originality/Value] Examining the practice demands of AIGC's regulation and compliance governance in conjunction with multi-source flow elements characteristics can enhance the practice effectiveness of GenAI technical services and provide valuable insights for the high-quality development of AIGC.

Keywords: AIGC regulatory governance, Multi-source flow coupling, Elemental adaptation, Compliance governance, International competition and cooperation