大模型集成架构驱动行政算法决策的技术跃迁与风险规制OA

With the improvement of the cognitive ability of the large-scale model integration architecture repre-sented 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 man-ifested 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 al-gorithms 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 con-firmation 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 algo-rithm decision-making is established.