• An Giang
  • Binh Duong
  • Binh Phuoc
  • Binh Thuan
  • Binh Dinh
  • Bac Lieu
  • Bac Giang
  • Bac Kan
  • Bac Ninh
  • Ben Tre
  • Cao Bang
  • Ca Mau
  • Can Tho
  • Dien Bien
  • Da Nang
  • Da Lat
  • Dak Lak
  • Dak Nong
  • Dong Nai
  • Dong Thap
  • Gia Lai
  • Ha Noi
  • Ho Chi Minh
  • Ha Giang
  • Ha Nam
  • Ha Tinh
  • Hoa Binh
  • Hung Yen
  • Hai Duong
  • Hai Phong
  • Hau Giang
  • Khanh Hoa
  • Kien Giang
  • Kon Tum
  • Lai Chau
  • Long An
  • Lao Cai
  • Lam Dong
  • Lang Son
  • Nam Dinh
  • Nghe An
  • Ninh Binh
  • Ninh Thuan
  • Phu Tho
  • Phu Yen
  • Quang Binh
  • Quang Nam
  • Quang Ngai
  • Quang Ninh
  • Quang Tri
  • Soc Trang
  • Son La
  • Thanh Hoa
  • Thai Binh
  • Thai Nguyen
  • Thua Thien Hue
  • Tien Giang
  • Tra Vinh
  • Tuyen Quang
  • Tay Ninh
  • Vinh Long
  • Vinh Phuc
  • Vung Tau
  • Yen Bai

Viet Nam ranks 5 in Southeast Asia in Government AI Readiness Index

VGP – Viet Nam jumped one place to rank 5th out of 10 ASEAN member countries in the 2023 Government AI Readiness Index.

January 16, 2024 9:45 PM GMT+7

Viet Nam's overall score increased to 54.48 points in 2023 compared to 53.96 in 2022 and 51.82 in 2021.

The U.S. and Canada continue to score near the top of the index, with the former ranking first at 84.80 and the latter ranking fifth at 77.07.

The countries both have high scores in the Government and Data and Infrastructure pillars, but the U.S. dramatically outperforms in the Technology Sector pillar, scoring 12 points higher than any other country.

The 2023 Government AI Readiness Index, developed by Oxford Insights, expands scope to rank 193 countries, up from 183 in the 2022 edition, which includes 39 indicators across 10 dimensions that make up 3 pillars: (i) Government, (ii) Technology Sector, (iii) and Data and Infrastructure.

With regard to Government pillar, a government should have a strategic vision for how it develops and governs AI, supported by appropriate regulation and attention to ethical risks (governance and ethics).

Moreover, it needs to have strong internal digital capacity, including the skills and practices that support its adaptability in the face of new technologies.

On Technology Sector, a government depends on a good supply of AI tools from the country's technology sector, which needs to be mature enough to supply the government.

The sector should have high innovation capacity, underpinned by a business environment that supports entrepreneurship and a good flow of R&D spending. Good levels of human capital — the skills and education of the people working in this sector — are also crucial.

For Data & Infrastructure, AI tools need lots of high-quality data (data availability) which, to avoid bias and error, should also be representative of the citizens in a given country (data representativeness). Finally, this data's potential cannot be realised without the infrastructure necessary to power AI tools and deliver them to citizens./.