Hybrid Human-AI Collaborative Networks

Éditeurs invités

• Rosanna Fornasiero, CNR IEIIT
• Luis M. Camarinha-Matos, NOVA University Lisbon
• Xavier Boucher, Mines Saint-Étienne
• Angel Ortiz, Universitat Politècnica de València

Synthèse

Hybrid Collaborative Networks combining human and artificial intelligence actors are becoming fundamental to value creation in digitally distributed ecosystems. These networks integrate diverse actors such as organizations, individuals, intelligent systems, and platforms operating across physical, digital, and organizational boundaries. Understanding their dynamics is essential for ensuring effective design, management, resilience, and sustained performance in changing environments.

This special issue addresses the scientific challenges of managing the life cycle of hybrid human-AI collaborative networks, including how such structures emerge, evolve, adapt, and dissolve. It calls for innovative design methods, adaptive governance models, and frameworks that integrate technological solutions with socio-human and managerial approaches to ensure effective human-AI integration, trust, and scalability.

Thèmes proposés

• Digital platforms for HCNs
• Collaborative dynamics among human and AI teams
• Agile design and management of hybrid networks
• Design of AI teammates
• Knowledge life cycle in distributed cognitive systems
• Collaboration and coopetition in untrustworthy environments
• Life cycle of collaborative cognitive cyber-physical systems
• Combination of human expertise with AI systems
• Scalability and adaptability of HCNs
• Collective decision making, value creation and creativity
• Digital twins for HCNs
• Governance framework for HCNs
• Understanding and explainability of HCN decisions
• Advanced collaborative robotics
• Complex hybridization of collaboration – organizations, people, smart machines, intelligent systems
• Resilience & antifragility in HCNs
• Ethics, security, & trust in HCNs
• AI integration for logistics and transportation networks
• AI for collaborative risk and crisis management
• Society 5.0 and collaborative networks
• CN applications and case studies in multiple fields