THAILAND NATIONAL AI STRATEGY AND ACTION PLAN
āđāļāļāļāļāļīāļāļąāļāļīāļāļēāļĢāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļŦāđāļāļāļēāļāļīāđāļāļ·āđāļāļāļēāļĢāļāļąāļāļāļēāļāļĢāļ°āđāļāļĻāđāļāļĒ
Start date :2022
End date :2027
Name of responsible governmental body :
- National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency;āļĻāļđāļāļĒāđāđāļāļāđāļāđāļĨāļĒāļĩāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđāđāļĨāļ°āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļŦāđāļāļāļēāļāļī, āļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļēāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđāđāļĨāļ°āđāļāļāđāļāđāļĨāļĒāļĩāđāļŦāđāļāļāļēāļāļī, āļāļĢāļ°āļāļĢāļ§āļāļāļēāļĢāļāļļāļāļĄāļĻāļķāļāļĐāļē āļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđ āļ§āļīāļāļąāļĒāđāļĨāļ°āļāļ§āļąāļāļāļĢāļĢāļĄ)
- Office of the National Digital Economy and Society Commission (ONDE), Ministry of Digital Economy and Society;āļŠāļģāļāļąāļāļāļēāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļīāļāļīāļāļąāļĨāđāļāļ·āđāļāđāļĻāļĢāļĐāļāļāļīāļāđāļĨāļ°āļŠāļąāļāļāļĄāđāļŦāđāļāļāļēāļāļī, āļāļĢāļ°āļāļĢāļ§āļāļāļīāļāļīāļāļąāļĨāđāļāļ·āđāļāđāļĻāļĢāļĐāļāļāļīāļāđāļĨāļ°āļŠāļąāļāļāļĄ)
Description :
- Thailand has an effective ecosystem to promote AI development and application to enhance the economy and quality of life within 2027.
Objectives:
- To prepare Thailand's readiness in social, ethics, law, and regulation for AI application.
- To develop national infrastructure for sustainable AI development.
- To increase human capability and improve AI education.
- To drive AI technology and innovation development.
- To promote the use of AI in public and private sectors.
OECD AI principle adressed:
- Inclusive growth, sustainable development and well-being
- Human-centred values and fairness
- Transparency and explainability
- Robustness, security and safety
- Accountability
- Investing in AI R&D
- Fostering a digital ecosystem for AI
- Providing an enabling policy environment for AI
- Building human capacity and preparing for labour market transition
- International co-operation for trustworthy AI
Relevant policy area covered:
- Agriculture
- Competition
- Corporate governance
- Defence
- Development
- Digital economy
- Economy
- Education
- Employment
- Environment
- Finance and insurance
- Health
- Industry and entrepreneurship
- Innovation
- Investment
- Public governance
- Science and technology
- Social and welfare issues
- Trade
- Transport
Direct beneficiaries:
- Higher education institutes
- Public research institutes
- Private research and development lab
- Established researchers
- Postdocs and other early-career researchers
- Undergraduate and master students
- Secondary education students
- PhD students
- Teachers
- Firms of any size
- Firms of any age
- Incubators, accelerators, hubs
- Industry associations
- Academic societies / academies
- International entity
- National government
- Entrepreneurs
- Labour force in general
- Workers
- Youth
- Children
- Other underrepresented groups
- Civil society
Estimated budget expenditure (range per year):
- Not applicable
Background including shifts in the policy initiative:
- Important milestone of the initiatives:
- 19 Feb 2021: Appointment order of Thailand NAIS working committee
- 14 Jul 2021: The draft of Thailand NAIS received approval from the National Digital Economy and Society committee
- 19 Jul 2021: The draft of Thailand NAIS received approval from the National Higher Education, Science, Research and Innovation Policy Council committee
- 12 Jan 2022: The draft of Thailand NAIS received approval from the National Economic and Social Development Council committee
- 26 Jul 2022: Thailand NAIS received approval from cabinet
- 17 Aug 2022: Appointment order of âNational AI committeeâ was endorsed by the Prime Minister (the driving committee for AI Strategy)
- 20 Sep 2022: Working Committee for National AI Action Plan was approved by the secretaries of the National AI Committee, and endorsed by Director of the National Science and Technology Development Agency (NSTDA) on 20 Sep 2022.
- 8 Dec 2022: during the 1st meeting of the Thailand National AI Committee, it was agreed to establish the Subcommittee on AI Workforce Development (āļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāđāļāļĨāļ·āđāļāļāļāļēāļĢāļāļąāļāļāļēāļāļģāļĨāļąāļāļāļāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ). This subcommittee aims to enhance the development of AI workforce in a practical and efficient manner, ensuring that the goals are met effectively. Additionally, the committee approved the creation of a central platform for artificial intelligence services in Thailand, serving government, private, and public sector needs, under the support of the Government Data Center and Cloud Service (GDCC) of the National Digital Economy and Society Commission (NDCC). The committee also approved the promotion and support of both public and private AI service providers to offer services through the central platform, aiming to enhance competitiveness and utilize AI technology in the country.
- 28 Aug 2023: A press conference was held to mark the 1st year of Thailand NAIS and to highlight an important step forward in driving Medical AI. The conference aimed to report on the progress of Thailand NAIS during Phase I (2022-2023), to outline the planning of Flagship projects in Phase II (2024-2027), and to conduct the signing ceremony of the memorandum of understanding on cooperation in research and development of datasets and innovations to further the use of artificial intelligence in medicine. This memorandum was signed between the Department of Medical Services (Ministry of Public Health), the National Science and Technology Development Agency, and the Faculty of Medicine, Ramathibodi Hospital (Mahidol University). For the first-year NAIS annual report, please visit: https://ai.in.th/about-ai-thailand/ (Thai language) & https://ai.in.th/en/about-ai-thailand/ (English language)
- During 2023-2024: Developing (draft) national flagship projects under the Thailand NAIS, Phase II (2024 â 2027) with stakeholders
- 7 Mar 2024 (TBA): Public hearing event scheduled to discuss the (draft) national flagship projects under the Thailand NAIS, Phase 2 (2024 - 2027)
In Thailand, during 2022-2023, the following initiatives related to AI were released:
1) NSTDA AI Ethics Guideline (āđāļāļ§āļāļāļīāļāļąāļāļīāļāļĢāļīāļĒāļāļĢāļĢāļĄāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ) by National Science and Technology Development Agency (Link: https://waa.inter.nstda.or.th/stks/pub/ori/docs/20220831-aw-book-ai-ethics-guideline.pdf)
2) Regulatory framework for the Use of AI/ML in the capital market 2023 (āļāļĢāļāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāđāļāđāļāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļĨāļ°āļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāļāļāļāđāļāļĢāļ·āđāļāļāđāļāļāļĨāļēāļāļāļļāļ, āļāļąāļāļ§āļēāļāļĄ 2566) by Securities and Exchange Commission (Link: https://publish.sec.or.th/nrs/9932s.pdf )
3) Thailand Artificial Intelligence Guidelines 1.0 (2022) āđāļāļ§āļāļāļīāļāļąāļāļīāđāļāļĩāđāļĒāļ§āļāļąāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāđāļāđāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ by Chulalongkorn University (Link: https://www.law.chula.ac.th/wp-content/uploads/2023/03/TAIG-20230222.pdf)
4) AI Governance Guideline for Executives (2023) āđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļ°āļĒāļļāļāļāđāđāļāđāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļĢāļĄāļēāļ āļīāļāļēāļĨ āļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļāļāļāđāļāļĢ by Electronic Transactions Development Agency (ETDA) (Link: https://www.etda.or.th/th/Our-Service/AIGC/index.aspx)
5) AI User Guideline 2023 (āļĄāļēāļāļĢāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļĢāļ°āļāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļĢāļ°āļāļāđāļāļāđāļāđāļĨāļĒāļĩāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāļāļēāļāļāļēāļĢāđāļāļāļĒāđ) by AIAT & TCELS
6) Draft Royal Decree on Business Operations that use Artificial Intelligence Systems (Draft bill, āļ.āļĢ.āļ. āļāļēāļĢāļāļĢāļ°āļāļāļāļāļļāļĢāļāļīāļāļāļĢāļīāļāļēāļĢāļāļĩāđāđāļāđāļāļēāļāļĢāļ°āļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ, āļāļāļąāļāļĢāļ°āļāļĄāļāļ§āļēāļĄāļāļīāļāđāļŦāđāļ, āļŠāļīāļāļŦāļēāļāļĄ 2565) by ONDE & Chulalongkorn University
7) Draft āļšBill on Promotion and Support for National AI Innovations (Draft bill, āļāļĢāļ. āļ§āđāļēāļāđāļ§āļĒāļāļēāļĢāļŠāđāļāđāļŠāļĢāļīāļĄāđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļ§āļąāļāļāļĢāļĢāļĄāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āļ.āļĻ. âĶ.. (āđāļĄāļĐāļēāļĒāļ 2566)) by ETDA & Thammasat University (Link: https://files.law.go.th/dgaBackoffice/2023-07-18-14%3A56%3A12_(āļĢāđāļēāļ) āļāļĢāļ°āļĢāļēāļāļāļąāļāļāļąāļāļīāļ§āđāļēāļāđāļ§āļĒāļāļēāļĢāļŠāđāļāđāļŠāļĢāļīāļĄāđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļ§āļąāļāļāļĢāļĢāļĄāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āļ.āļĻ. ....pdf)
8) Draft Notification on AI Sandbox 2023 ((āļĢāđāļēāļ) āļāļĢāļ°āļāļēāļĻāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļēāļāļļāļĢāļāļĢāļĢāļĄāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđ āđāļĢāļ·āđāļāļ āļĻāļđāļāļĒāđāļāļāļŠāļāļāļāļ§āļąāļāļāļĢāļĢāļĄāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ (AI Sandbox)) by ETDA (Link: https://files.law.go.th/dgaBackoffice/ 2023-03-29-18%3A42%3A56_(āļĢāđāļēāļ) āļāļĢāļ°āļāļēāļĻāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļēāļāļļāļĢāļāļĢāļĢāļĄāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđ āđāļĢāļ·āđāļāļ āļĻāļđāļāļĒāđāļāļāļŠāļāļāļāļ§āļąāļāļāļĢāļĢāļĄāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ (AI Sandbox).pdf)
9) Draft Notification on Criteria and Method for Assessing and Managing Risks Arising from the Use of AI 2023 ((āļĢāđāļēāļ) āļāļĢāļ°āļāļēāļĻāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļēāļāļļāļĢāļāļĢāļĢāļĄāļāļēāļāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđ āđāļĢāļ·āđāļāļ āđāļāļ§āļāļēāļāđāļāļāļēāļĢāļāļģāļŦāļāļāļŦāļĨāļąāļāđāļāļāļāđāđāļĨāļ°āļ§āļīāļāļĩāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļēāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ āļ.āļĻ. âĶ.)) by ETDA (Link: https://files.law.go.th/dgaBackoffice/ 2023-03-30-10%3A21%3A32_(āļĢāđāļēāļ) āļāļĢāļ°āļāļēāļĻāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļēāļāļļāļĢāļāļĢāļĢāļĄāļāļēāļāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđ āđāļĢāļ·āđāļāļ āđāļāļ§āļāļēāļāđāļāļāļēāļĢāļāļģāļŦāļāļāļŦāļĨāļąāļāđāļāļāļāđāđāļĨāļ°āļ§āļīāļāļĩāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļēāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ āļ.āļĻ. .....pdf)
Policy initiative is a structural reform:
- No
Evaluated:
- No
Link to evaluation or reports:
- N.A
Public access URL:
- https://www.ai.in.th/
- https://www.nectec.or.th/en/about/news/cabinet-national-ai-strategy.html#:~:text=On%2026%20July%202022%2C%20the,quality%20of%20life%20within%202027%E2%80%9D.
Funding from the private sector:
- No
Type of evaluation:
- N.A
Evaluation provides input to:
- N.A
Evaluation performed by:
- N.A
Policy instruments :
National strategies, agendas and plans
- Type : National strategies, agendas and plans
- Name in English : Thailand National AI Strategy and Action Plan
- Country : Thailand
- Public access URL : https://ai.in.th/ and https://www.nectec.or.th/en/about/news/cabinet-national-ai-strategy.html#:~:text=On%2026%20July%202022%2C%20the,quality%20of%20life%20within%202027%E2%80%9D.
- Strategy mainly prioritises : Digital infrastructure for AI (e.g. cloud resources, computing power) | Facilitate experimentation in a controlled environment | Increase public awareness and civic engagement | AI in the public sector | AI policy governance (e.g. vertical and horizontal coordination, evaluation) | Business innovation and innovative entrepreneurship | Public research capabilities | Education and skills | Specific areas/sectors (e.g. new industrial policy, R&D targets for clean tech) | Societal challenges (e.g. social inclusiveness); environmental challenges (e.g. sustainability) | International cooperation on STI | R&D intensity (e.g. GERD as a % of GDP) | Connectivity and digitalisation | Data access and sharing; data governance
- - Quantifiable target, Deadline : AI policy governance (e.g. vertical and horizontal coordination, evaluation): Vertical coordination: 1) On 26 July 2022, the Cabinet approved the (Draft) Thailand National AI Strategy and Action Plan (2022 â 2027) under the vision âThailand has an effective ecosystem to promote AI development and application to enhance the economy and quality of life within 2027â. The strategy aims to build (1) Human capacity and Technology, (2) Economic growth and (3) Social and environmental impact. The Plan will be implemented under 5 strategies including 1) Preparing Thailandâs readiness in social, ethics, law, and regulation for AI application, 2) Developing national infrastructure for sustainable AI development, 3) Increasing human capability and improving AI education, 4) Driving AI technology and innovation development, 5) Promoting the use of AI in public and private sectors.2) Setting up committees and subcommittees aimed at driving Thailand NAISEvaluation: 1) By the end of 2027, Thailand aims to achieve economic growth and social equity through specific key results, including (1) At least 600,000 Thai individuals, accounting for person-time (which may include multiple instances of participation per individual), have awareness of AI law and ethics.Coordinator to deliver KPI: Office of the National Digital Economy and Society Commission (ONDE) (2) An AI Law & Regulation is enforced.Coordinator to deliver KPI: Office of the National Digital Economy and Society Commission (ONDE) & Electronic Transactions Development Agency (ETDA)(3) Increase Thailandâs Government AI Readiness index to rank among top 50 globally.Coordinator to deliver KPI: National Science and Technology Development Agency (NSTDA)(4) Increasing digital infrastructure investment 10% per year to support AI development in both public & private sectors.Coordinator to deliver KPI: Office of the National Digital Economy and Society Commission (ONDE) & National Science and Technology Development Agency (NSTDA)(5) Creating more than 30,000 AI workforce within 2027. Coordinator to deliver KPI: Subcommittee AI Workforce(6) Strengthen AI technology by developing at least 100 R&D prototypes within 6 years.Coordinator to deliver KPI: pending assignment(7) Wide adoption of AI research, development and innovation helps create business & social impact of at least 48 billion Baht by 2027.Coordinator to deliver KPI: National Science and Technology Development Agency (NSTDA) collects data to be reported.(8) Number of agencies (government, business & new entrepreneurs) using AI innovation is increased by 10 percent per year, or to at least 600 agencies in 6 years.Coordinator to deliver KPI: pending assignment (9) Thailandâs AI competitiveness is enhanced by the increase in the AI market value by at least 60 billion baht within 2027Coordinator to deliver KPI: pending assignment2) Setting up committees and subcommittees aimed at driving Thailand's NAIS, including 1. āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāđāļāļĨāļ·āđāļāļāđāļāļāļāļāļīāļāļąāļāļīāļāļēāļĢāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļŦāđāļāļāļēāļāļī āđāļāļ·āđāļāļāļēāļĢāļāļąāļāļāļēāļāļĢāļ°āđāļāļĻāđāļāļĒ (National AI Committee), 2.āļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāđāļāļĨāļ·āđāļāļāļāļēāļĢāļāļąāļāļāļēāļāļģāļĨāļąāļāļāļāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđ (Subcommittee AI Workforce), and 3. āļāļāļ°āļāļģāļāļēāļāļāļąāļāđāļāļĨāļ·āđāļāļāđāļāļāļāļāļīāļāļąāļāļīāļāļēāļĢāļāđāļēāļāļāļąāļāļāļēāļāļĢāļ°āļāļīāļĐāļāđāđāļŦāđāļāļāļēāļāļīāđāļāļ·āđāļāļāļēāļĢāļāļąāļāļāļēāļāļĢāļ°āđāļāļĻāđāļāļĒ (Working Committee for National AI Action Plan), and there will be two subcommittees that will be announced later to help driving the plan.Horizontal coordination: Involving collaboration among government agencies, the academic sector, private sectors, and other relevant stakeholders participating in AI Flagship Project I & II, and extending this collaboration to stakeholder involvement throughout the AI Ecosystem.Evaluation: - The number of AI Flagship projects that occur and can create a significant impact in the aspects of human capacity and technology, economic growth, and social and environmental development.- Expert networking groups, both inside and outside Thailand, that can advise and share knowledge with each other. (2027)
- - Quantifiable target, Deadline : Business innovation and innovative entrepreneurship: Key indicators: 1) Number of agencies (government, business & new entrepreneurs) using AI innovation is increased by 10 percent per year, or to at least 600 agencies in 6 years. 2) Thailand's AI competitiveness is enhanced by the increase in the AI market value by at least 60 billion baht within 2027 (2027)
- - Quantifiable target, Deadline : Connectivity and digitalisation: For Strategy 2: Developing Infrastructure for Sustainable AI Development, the key indicators include increasing digital infrastructure investment by 10% per year to support AI development in both the public and private sectors, which will cover data infrastructure. (2027)
- - Quantifiable target, Deadline : Data access and sharing; data governance: Key Indicator: Increasing digital infrastructure investment 10% per year to support AI development in both public & private sectorsâĒ GDCC â Tier 4, SLA 99.9%, Link: https://gocc.gdcc.onde.go.th/news/27âĒ Open-D: https://www.nectec.or.th/opend/ and (āļĢāđāļēāļ) āđāļāļ§āļāļēāļāļāļāļīāļāļąāļāļīāđāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāđāļāļĄāļđāļĨ (Data Governance) āļŠāļģāļŦāļĢāļąāļāļāđāļāļĄāļđāļĨāļŠāļēāļāļēāļĢāļāļ°āđāļĨāļ°āļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨ https://opend-portal.nectec.or.th/pages/data-governance-guidelineâĒ Medical AI data sharing: One of the AI Flagship Projects aims to establish a Medical Data Platform, which will include medical images totaling at least 1,000,000 pictures by the end of the first year of the project (March 2024), for service within both member and public services. (2027)
- - Quantifiable target, Deadline : Digital infrastructure for AI (e.g. cloud resources, computing power): âĒ GDCC â Tier 4, SLA 99.9%, Link: https://gocc.gdcc.onde.go.th/news/27âĒ HPC - LANTA HPC 31,744 Compute Cores 704 NVIDIA A100 GPU, Link: https://thaisc.io/ Key Indicator: Increasing digital infrastructure investment 10% per year to support AI development in both public & private sectors (2027)
- - Quantifiable target, Deadline : Education and skills: Key indicator: Creating more than 30,000 AI talents within 6 years (2027)
- - Quantifiable target, Deadline : Facilitate experimentation in a controlled environment: Under Strategy 5: Promoting the use of AI in public and private sectors, there is a work plan to develop mechanisms and sandboxes for business innovation and AI startups, which Thailand already has with the Draft Notification on AI Sandbox 2023. (2027)
- - Quantifiable target, Deadline : Increase public awareness and civic engagement: At least 600,000 Thai individuals, accounting for person-time (which may include multiple instances of participation per individual), have awareness of AI law and ethics. (2027)
- - Quantifiable target, Deadline : International cooperation on STI: - Some examples of international cooperation in broad pictures include OECD, UNESCAP, AI Asia Expo, and the US-ASEAN Business Council. For more information, please visit section 9: link to the document.- For international cooperation on STI research projects, there are collaborations in various fields. Notably, research projects related to AI are centered around Environmental Protection & Disaster Prevention, Smart and Secure, Education, and Agriculture. These projects entail international collaboration between Thailand and Myanmar, Brunei, Malaysia, the Philippines, Laos, Germany and Japan. (2027)
- - Quantifiable target, Deadline : Public research capabilities: Key indicators: 1) Strengthen AI technology by developing at least 100 R&D prototypes within 6 years, and 2) Wide adoption of AI research, development and innovation helps create business & social impact of at least 48 billion Baht by 2027 (2027)
- - Quantifiable target, Deadline : R&D intensity (e.g. GERD as a % of GDP): âĒ In 2021: Thailandâs gross expenditures on research and development (GERD) amounted to THB 195.57 billion, accounting for 1.21% of the countryâs GDP (https://www.nxpo.or.th/th/en/17636/) âĒ In 2020: Thailandâs GERD accounting for 1.33% (https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS?locations=TH) Key indicators: 1) Strengthen AI technology by developing at least 100 R&D prototypes within 6 years, and 2) Wide adoption of AI research, development and innovation helps create business & social impact of at least 48 billion Baht by 2027 (2027)
- - Quantifiable target, Deadline : Societal challenges (e.g. social inclusiveness); environmental challenges (e.g. sustainability): - At least 600,000 Thai individuals, accounting for person-time (which may include multiple instances of participation per individual), have awareness of AI law and ethics- An AI Law & Regulation is enforced- Wide adoption of AI research, development and innovation helps create business & social impact of at least 48 billion Baht by 2027- Thailandâs AI competitiveness is increased by AI applications at least 60 billion Baht (2027)
- - Quantifiable target, Deadline : Specific areas/sectors (e.g. new industrial policy, R&D targets for clean tech): Specific sectors including 1) Food & agriculture, 2) Healthcare & medical, 3) Government service, 4) Education, 5) Security & safety, 6) Energy & environment, 7) Logistics & transportation, 8) Creative economy & tourism, 9) Manufacturing, 10) Trade & finance (2027)
- Societal challenge(s) emphasised : Health | Inclusiveness (e.g. inequality, job insecurity) | Food security | Energy security | Climate change | Environmental sustainability
- Implementation mechanism : Action plan | Linked to new law or regulation | Periodic monitoring and/or evaluation of progress | Dedicated coordinating/monitoring public body
Last updated : Feb 28, 2024
