关键词: 大模型集成架构, 行政算法决策, 数据安全, 程序正义, 法律规制

Abstract: With the improvement of the cognitive ability of the large-scale model integration architecture represented by GPT-5, the automatic decision-making mode of administrative algorithms has also changed in many aspects, forming a paradigm transition from “rule driven” to “cognitive generalization”. The technical transition of administrative algorithm decision driven by the large-scale model integration architecture is specifically manifested in the cross-modal data integration, dynamic routing calculation force distribution and chain reasoning correction, which lays a new foundation for the automatic decision-making of administrative algorithms and improves the government’s digital governance ability and problem-solving ability. However at the same time, the deep involvement of the large-scale model integration architecture in the decision-making of administrative algorithms has also induced risks and challenges in data security, procedural justice and power operation structure to a certain extent. In view of this, corresponding institutional responses and regulations shall be formulated. On the one hand, it is necessary to reconstruct data governance boundaries through hierarchical data right confirmation and the public data trust system, and enhance the interpretability and transparency of algorithms via a dynamic interpretation mechanism. On the other hand, the principles of proportionality and anti-discrimination rules are embedded in the process of algorithm design, and the binding system of subject responsibility for algorithm decision-making is established.

Key words: large model integration architecture, administrative algorithm decision making, data security, procedural justice, legal regulation