Individual AI mechanism design based on the open innovation dynamics

JinHyo Joseph Yun, Xiaofei Zhao, Heungju Ahn and KyungBae Park

European Journal of Innovation Management, 2026, vol. 29, issue 5, 1561-1584

Abstract: PurposeThis study addresses key research gaps related to the singularity of artificial intelligence (AI). specifically, this study investigates whether it is possible to create an individual AI derived from open innovation dynamics, while ensuring that it does not exceed its capabilities beyond the singularity threshold.Design/methodology/approachIt first develops a conceptual model of individual AI. Next, it introduces a mathematical framework that incorporates both the breadth dimensions of open innovation – such as reciprocity and location – and the depth dimensions, including customization and organization. Through simulations, it identifies the unique personalities of the individual AI and, using causal loop modeling, it covers its distinctive characteristics.FindingsIt highlights the advantages of individual AI approach based on open innovation dynamics over current general AI models.Originality/valueIndividual AI might propose a new future direction of the general AI, which has each individuality and does not have the possibility to grow up over the singularity.

Keywords: Individual AI; General AI; Singularity; Open innovation dynamics; Artificial-intelligence learning; Inter-rationality (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejimpp:ejim-07-2025-0870

DOI: 10.1108/EJIM-07-2025-0870

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