Expanding the Concept of Hybrid Intelligence Collaboration in Business: Toward Augmented Hybrid Intelligence and Enhanced Human Collaboration
Expanding the Concept of Hybrid Intelligence Collaboration in Business: Toward Augmented Hybrid Intelligence and Enhanced Human Collaboration

Summary/Abstract: In the expanding and dynamic technological sphere, digital upskilling, skill development, and responsible AI innovation are forming the foundational concepts of collaboration and hybrid intelligence in business environments, becoming crucial models for the adoption and integration of artificial intelligence. Recognizing the most efficient modality of human-technology collaboration depends on knowledge and workforce management through developing the most effective and advanced methodological models as part of efforts to govern AI. By fostering future skills in individuals, these concepts enable the application of AI rather than its replacement of human labor. The transformative impact of AI, in the context of integrating AI systems and fostering collaboration based on technological modalities, will be considered in terms of reinforcement learning (RL), multimodal large language models (MLLMs), and agentic and super-agentic support, harmonized through augmentation rooted in uniquely human strengths such as creativity, systems thinking, and cognition. In this regard, advanced hybrid-augmented intelligence and collaboration are conceptualized through a proposed model of an adaptive Expanded Hybrid Intelligence System, centered on the implementation of the Human Digital Twin (HDT). Further development of this model aims to establish a solid methodological foundation for examining the partnership between humans and technology within contemporary business ecosystems, emphasizing their mutual interconnectednes.

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