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Technology
December 04, 2024

AI Roadmap for Thailand: Deep Dive into the Strategic Plan Leading to Thailand's AI Future

THE STANDARD ECONOMIC FORUM 2024, an annual gathering of Thailand's leading economic experts and policymakers, hosted a panel discussion on the crucial role of AI in shaping Thailand's future.  Dr. Napat Jatusripitak, Managing Director of ThailandFuture Foundation and CEO of Vialink, Dr. Pat Pataranutaporn, Postdoctoral Researcher at MIT Media Lab and Co-director of Advancing Human-AI Interaction Initiative, Dr. Santitarn Sathirathai, Future Economy Advisor at Thailand Development Research Institute (TDRI), and Kasima Tharnpipitchai, Head of AI Strategy at SCB 10X, shared their insights on “AI Roadmap for Thailand,”  an initiative aimed at guiding AI development and adoption, to address the challenges and opportunities presented by AI.


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AI is transforming the world

Mr. Kasima highlighted the development of “Typhoon,” a Thai language model, as a key step towards effectively utilizing AI within the Thai context. "Typhoon" accurately understands the nuances of Thai language and culture. Its open-source design promotes further development and wider application, promising significant benefits for the Thai economy and society, while also raising the global profile of Thai AI innovation.

Other speakers also underscored AI's potential to revolutionize sectors like healthcare, agriculture, and education, emphasizing the need for interdisciplinary collaboration to drive progress. Dr. Santitarn, for instance, views AI as a solution to Thailand's impending labor shortage due to an aging population, highlighting its potential to boost efficiency across various industries.


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Finally, Kasima from SCB 10X highlighted the development of the Thai language model ‘Typhoon,’ a significant step towards applying AI in the Thai context. ‘Typhoon’ demonstrates a strong understanding of Thai language and cultural nuances and is open source to encourage further development, creating opportunities for wider AI adoption in areas like customer service, education, and content creation, ultimately benefiting the Thai economy and society.

 

Developing Thailand's Workforce in the Age of AI

 

To fully utilize AI, Thailand needs a comprehensive strategy with 3 key pillars:

  •  Lifelong Learning: Build understanding and reduce anxiety about AI. Promote the view that AI enhances human potential. Cultivate basic AI literacy and provide access to learning resources for everyone.

  • AI Skills Development: 
    • Basic Level: AI proficiency (using AI tools effectively). AI immunity (critical thinking and awareness of AI limitations). Domain-specific AI application (integrating AI in specialized fields). Empathy (preserving human values in AI interactions).

    • Intermediate Level: Redesigning work processes to leverage AI for increased efficiency. 

    • Advanced Level: Developing AI solutions tailored to the Thai context and cultivating AI experts.

  • Government Support: Mr. Kasima emphasized the crucial role of the government in driving AI development in Thailand. This includes: Investing in AI research and development that addresses Thailand's specific needs. Developing digital infrastructure, such as secure data centers and cloud systems. Establishing appropriate policies and avoiding imitation of foreign models that may not align with Thailand's requirements. Creating balanced regulations that support innovation while ensuring safety, ethics, and privacy.

 

What Should the Government Do About AI Development?

 

Overall, the panelists agree that AI development in Thailand requires collaboration from all sectors. The government plays a crucial role in setting policies and creating an environment conducive to AI industry growth. Clear and specific policies will enable Thailand to compete effectively on the global stage.

 

Mr. Kasima advocates for government policies that prioritize AI development and promotion, rather than control and restriction. He cautions against adopting foreign AI policies, such as those from Europe or Africa, which may not align with Thailand's unique context. He also stresses the importance of policies that encourage training and development to stimulate growth in the domestic AI industry.

 

Dr. Pat highlighted the resource-intensive nature of developing advanced AI models, particularly "Fundamental Models." He advocated for focused government support and strategic investment to address specific opportunities and challenges in AI development, avoiding a fragmented approach. Building on this, Dr. Santitarn proposed the formation of an interdisciplinary task force to formulate comprehensive AI policies tailored to Thailand's unique needs and opportunities. He emphasized that AI is integral to economic policy, extending beyond purely technological considerations, and encouraged its responsible and innovative use.

 

 

What Thailand Needs to Change

 

The panelists believe that to fully utilize AI technology, Thailand needs to adopt a transformative approach in several key areas:

  • Change in Mindset: From a follower (Champion Mindset) to a challenger mindset, daring to think, act, experiment, and embrace new things.
  • Change in Policy: The government should adjust policies to facilitate AI development and adoption, focusing on supporting smart investments, reducing bureaucratic hurdles, and promoting innovation.
  • Change in Work Methods: The government must work closely with the private sector, and the private sector must be bold in investing in and developing new technologies.
  • Change in Workforce Skills: By educating Thai people with the knowledge and skills to work with AI and create new innovations.

 

Addressing Challenges and Seizing Opportunities

 

However, while AI offers immense potential, there are significant challenges, such as ethical concerns, data privacy, and the risk of unemployment. To address these challenges, Thailand needs to prioritize ethics, ensuring that AI is developed and used responsibly. It should also invest in robust digital infrastructure to support AI applications. Furthermore, collaboration between academia, industry, and the government should be promoted

 

 

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