AI-driven collaborative development of industry-academia-research under the perspective of new quality productive forces
Yang Yang
Guangzhou College of Commerce
Meng Qiao
Guangzhou College of Commerce
DOI: https://doi.org/10.59429/pmcs.v6i4.8421
Keywords: Artificial intelligence (AI); Industry-academia collaboration; New quality productive forces; Technological innovation; Knowledge capital
Abstract
This paper explores the AI-driven collaborative development of industry, academia, and research from the perspective of new productive forces. It highlights how AI transforms traditional models through data analysis, machine learning, and intelligent decision-making, enhancing efficiency in technology transfer and innovation capabilities. The study also discusses the role of AI in aligning education with industry needs, improving curriculum relevance, and fostering interdisciplinary collaboration. Challenges such as data security and privacy protection, as well as the need for continuous talent cultivation, are also addressed.
References
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