西安交通大学学报（社会科学版）2026，Vol.46Issue(1)：140-153,14.DOI:10.15896/j.xjtuskxb.202601009
人脑智能和新一代人工智能协同推动管理创新:理论逻辑与实现路径
Integrating Human Intelligence and the New Generation of Artificial Intelligence to Drive Management Innovation:Theoretical Logics and Realization Pathways
摘要
Abstract
In the digital era,the technological revolution represented by new generation artificial intelligence is profoundly reshaping production and management models.The synergy between human intelligence and new generation artificial intelligence is pivotal to driving management innovation.Exploring the collaborative mechanisms between human intelligence and new generation artificial intelligence holds significant importance for advancing management innovation and cultivating new quality productive forces.The State Council's"Opinions on Deepening the Implementation of the'AI Plus'Initiative"repeatedly emphasizes accelerating the formation of a new intelligent society characterized by human-machine collaboration.However,in current practice,the inherent theoretical logic for systematically integrating their unique strengths to drive profound management innovation through synergy remains to be clarified,and the realization pathways require systematic construction.Based on this,this study first systematically reconstructs the essence of management innovation in the digital era,emphasizing its evolution into a new paradigm driven by"dual-intelligence synergy".It thoroughly analyzes the core strengths and exceptional capabilities of human intelligence and new generation artificial intelligence,demonstrating their inherent complementarity and inevitable synergy in cognitive mechanisms and functional efficacy.Second,an original theoretical framework was constructed based on the interaction of five key mechanisms.First,the knowledge coupling and creation mechanism facilitates the explicit transformation of tacit knowledge,accelerates knowledge sharing and transmission,and expands the boundaries of organizational knowledge innovation.Second,the decision enhancement and optimization mechanism achieves complementary strengths of dual intelligence throughout the entire process of problem identification,solution generation,and decision execution,comprehensively improving decision quality,speed,and scientific rigor.Third,the feedback learning evolution mechanism learning directionality and efficiency through active learning while expanding learning breadth and depth through passive learning,thereby driving bidirectional interaction and co-evolution among dual-intelligence entities.Fourth,the mutual trust assurance mechanism for dual intelligence,underpinned by trustworthy capabilities and ethical frameworks,provides stable operational safeguards for collaborative systems.Fifth,the value alignment constraint mechanism mitigates risks of technological alienation,ensuring all management innovations align with core socialist values and sustainable development requirements.Finally,addressing current constraints across four fundamental levels:foundational support,technical capabilities,organizational management,and governance environment,we propose a comprehensive dual-intelligence synergy realization pathway through four coordinated dimensions.First,solidify integrated hardware-software intelligent infrastructure.Second,establish a trustworthy and secure technical capability system.Third,shape an intelligent-native organizational management paradigm.Fourth,foster an agile and inclusive governance and cognitive environment.Therefore,deepening the synergy between human intelligence and new generation artificial intelligence is both a macro-level necessity for cultivating new economic growth drivers at the top-level design stage and a micro-level organizational requirement for optimizing decision-making and stimulating vitality.This study adheres to the core principles of"people-centered approach and AI for good",providing a theoretical foundation for the synergistic advancement of human-brain intelligence and new generation artificial intelligence in driving management innovation.It also offers fresh perspectives on accelerating the development pathways for new quality productive forces.关键词
人脑智能/新一代人工智能/双智协同/知识耦合创造机制/决策增强优化机制/反馈学习演进机制/双智互信保障机制/价值对齐约束机制分类
管理科学引用本文复制引用
江旭,刘卫..人脑智能和新一代人工智能协同推动管理创新:理论逻辑与实现路径[J].西安交通大学学报（社会科学版）,2026,46(1):140-153,14.基金项目
国家社会科学基金重大项目(23&ZD135) （23&ZD135）
陕西省社会科学基金年度项目(2022R025). （2022R025）
