Policy Recommendations for High-Quality Development of Shandong’s Artificial Intelligence Industry
- DOI
- 10.2991/978-94-6463-886-8_12How to use a DOI?
- Keywords
- Artificial Intelligence Industry; High-Quality Development; Policy Recommendations
- Abstract
The rapid iteration and disruptive evolution of artificial intelligence (AI) technologies are profoundly reshaping the industrial landscape, making the industrialization of AI a central focus of current strategic frameworks and competitive dynamics among stakeholders. Shandong Province has developed a relatively comprehensive AI infrastructure, with its core industry beginning to take shape and demonstrating an overall development pattern characterized by “dual growth poles driving progress, supported by multiple regions.” However, compared to more advanced regions, the development of Shandong’s AI industry still faces challenges, including insufficient core research and development (R&D) capabilities, a relatively underdeveloped industrial scale, and an ecosystem that requires further strengthening. In this context, this study systematically analyzes the key elements of AI industry development, aligns them with the actual conditions of Shandong’s AI sector, and proposes targeted recommendations. These recommendations include accelerating breakthroughs in core technologies, enhancing the supply of foundational resources, optimizing the industrial ecosystem, promoting scaled industrial development tailored to local conditions, and refining the industrial support system. The findings provide a valuable reference for advancing the high-quality development of Shandong’s AI industry.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Gang Li AU - Mingxi Ji AU - Qianlong Liu AU - Hengyu Zhang PY - 2025 DA - 2025/11/06 TI - Policy Recommendations for High-Quality Development of Shandong’s Artificial Intelligence Industry BT - Proceedings of the 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025) PB - Atlantis Press SP - 116 EP - 123 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-886-8_12 DO - 10.2991/978-94-6463-886-8_12 ID - Li2025 ER -