Bibliometric Analysis on Artificial Intelligence Research to Support National Artificial Intelligence Strategy in Thailand
15
Issued Date
2023-01-01
Resource Type
Scopus ID
2-s2.0-85170371184
Journal Title
PICMET 2023 - Portland International Conference on Management of Engineering and Technology: Managing Technology, Engineering and Manufacturing for a Sustainable World, Proceedings
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SCOPUS
Bibliographic Citation
PICMET 2023 - Portland International Conference on Management of Engineering and Technology: Managing Technology, Engineering and Manufacturing for a Sustainable World, Proceedings (2023)
Suggested Citation
Kongthon A., Gerdsri N. Bibliometric Analysis on Artificial Intelligence Research to Support National Artificial Intelligence Strategy in Thailand. PICMET 2023 - Portland International Conference on Management of Engineering and Technology: Managing Technology, Engineering and Manufacturing for a Sustainable World, Proceedings (2023). doi:10.23919/PICMET59654.2023.10216815 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/90053
Title
Bibliometric Analysis on Artificial Intelligence Research to Support National Artificial Intelligence Strategy in Thailand
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Author's Affiliation
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Abstract
Artificial Intelligence (AI) adoption in Thailand is still in the early stages. To expand the adoption of AI in Thailand, the country needs training and expertise in the technology and government support in AI infrastructure which includes a technology and innovation strategy, education, and R&D infrastructure. In 2022, Thailand's National Artificial Intelligence Strategy and Action Plan has been launched with the aim for Thailand to have an effective ecosystem for developing and applying AI to enhance the economy and improve quality of life by 2027. This paper aims to apply bibliometric analysis on AI research publications in Thailand to identify insights such as the current AI experts and their networks, the application areas of AI, and the core technologies. With these insights, policy makers can identify the gaps between current AI research landscape and desired outcomes of the National AI strategy and action plan.