AI-Driven Hybrid Group Intelligence Decision-Making

Artificial intelligence and human expertise are increasingly intertwined, creating powerful hybrid systems for decision-making. Leveraging the understanding of human intelligence with the computational power of AI can enhance the accuracy and effectiveness of decisions in critical areas. Despite significant advancements, challenges persist in harmonizing human intuition with algorithmic precision, often leading to gaps in decision-making effectiveness and adaptability. Current research highlights both the potential and limitations of existing models, with ongoing debates about the best practices for effectively integrating these two forms of intelligence.This Research Topic aims to investigate AI-driven group intelligent decision-making to minimize risks and errors, thereby establishing innovative practices and mechanisms of hybrid intelligence-driven decision-making. It seeks to provide a systematic approach to decision-making governance, underpinned by robust scientific and theoretical methodologies. The goal is to cultivate a foresighted and scientifically valuable decision-making framework that integrates the strengths of both human and machine intelligence.The topic welcomes various manuscript types, including original research, reviews, case studies, perspectives, methodological papers, and data reports. The topics of this Research Topic include, but are not limited to:- Theoretical foundations and models of AI-driven decision-making- Methodologies for integrating human and machine intelligence- Mechanisms that enhance decision-making accuracy and effectiveness- Case studies on the application of hybrid intelligence in decision-making- Future directions and innovations in intelligent decision systems Topic editors: Xuanhua Xu, xx xx, Francisco Javier Cabrerizo Lorite Source: https://www.frontiersin.org/research-topics/69276/ai-driven-hybrid-group-intelligence-decision-making