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Regulation and innovation: Unveiling the quadruple-helix-innovation ecosystem of generative AI
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DOI：10.1016/j.ipm.2025.104549.png)
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Abstract
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The collaboration between generative artificial intelligence (Gen-AI) innovation and regulation is a new trend. How can different regions and subjects balance knowledge innovation in Gen-AI between regulation and innovation? This study introduced an innovative Quadruple Helix model. By analyzing over 6000 pieces of data from five different fields–policy documents, industry patents, academic papers, media news, and posts from X–we obtained knowledge output and collaborative relationships between different Quadruple Helix subjects. We find that governments, industries, and universities play different but interrelated roles in the innovation and regulation of Gen-AI. The participation of civil society has broken through the limitations of the Triple Helix in knowledge innovation, effectively balancing innovation and regulation of Gen-AI knowledge production. This study seeks to provide a new perspective and method for gaining an in-depth understanding of Gen-AI development. We recommend that the government and corporate sector collaboratively construct an innovation and governance system that harmonizes specialized expertise with public consensus, aiming to achieve democratic governance and technological sustainability.
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