Measuring responsible AI in 136 countries
Measuring responsible AI in 136 countries
THEMATIC AREAS
THEMATIC AREAS
Public sector skills development
Public sector skills development
This thematic area measures steps countries have taken to support skills development in relation to responsible AI within the civil service and judiciary.
Skills development can be defined as the ‘acquisition of work-related skills and competencies through employment education and training’. Although skills development can be generally understood as ‘basic education, initial training and lifelong learning’, in the context of the workforce, it refers to the development of competencies that are necessary to perform ‘a trade or occupation in the labor market’.
SCORES
SCORES
SCORES
Country and regional scores
Bright spots
Goverment Frameworks - Dominican Republic
Goverment Frameworks - Dominican Republic
Goverment Frameworks - Dominican Republic
Goverment Frameworks - Dominican Republic
Government actions - Poland
Government actions - Poland
Government actions - Poland
Government actions - Poland
Non-state actors - Portugal
Non-state actors - Portugal
Non-state actors - Portugal
Non-state actors - Portugal
Background
In the context of AI, skills development refers to the technical knowledge, capabilities and proficiencies that are required to ‘successfully integrate AI into functions’ across various industries, in both the public and private sectors. Note, this should not be interpreted to include educational curriculum provided at the tertiary level.
Skills development programmes could be in the form of:
Capacity building programmes for civil servants or government personnel working in units/departments deploying AI systems.
Training programmes for judges and other members of the judiciary on AI- related laws and regulations.
Change of competency requirements to include AI-related skills
Introduction of courses such as coding, robotics, programming, etc. for civil servants specifically.
Provision of bursaries and scholarships on AI courses to civil servants outside of the tertiary education environment.
Introduction of activities such as tech challenges, competition, tech events, apprenticeship, internships that encourage the uptake of courses, in relation to AI, across the civil service etc.
Background
In the context of AI, skills development refers to the technical knowledge, capabilities and proficiencies that are required to ‘successfully integrate AI into functions’ across various industries, in both the public and private sectors. Note, this should not be interpreted to include educational curriculum provided at the tertiary level.
Skills development programmes could be in the form of:
Capacity building programmes for civil servants or government personnel working in units/departments deploying AI systems.
Training programmes for judges and other members of the judiciary on AI- related laws and regulations.
Change of competency requirements to include AI-related skills
Introduction of courses such as coding, robotics, programming, etc. for civil servants specifically.
Provision of bursaries and scholarships on AI courses to civil servants outside of the tertiary education environment.
Introduction of activities such as tech challenges, competition, tech events, apprenticeship, internships that encourage the uptake of courses, in relation to AI, across the civil service etc.
Relevance
Concerns about AI's impact on the labor market are as significant as the questions surrounding the skills needed for integrating AI technologies into various industries. Because AI can be applied across a range of fields and sectors, there has been increased attention towards increasing levels of AI literacy across various sectors, not just for people involved in Science, Technology, Engineering and Mathematics (STEM). Further, the rapid uptake of AI use by governments across the world demands that basic skills such as computing, coding, programming and robotics, be fully integrated into skills development programmes in the civil service to ensure personnel not only understand how to use these systems, but also understand how to apply them in a responsible manner. Accordingly, skills development programmes in AI not only need to focus on building the technical competencies, but also knowledge around AI ethics principles and practices.
EVIDENCE
Evidence Explorer
Discover and compare all all the evidence collected under this thematic area using our Evidence Explorer tool
EVIDENCE
Evidence Explorer
Discover and compare all all the evidence collected under this thematic area using our Evidence Explorer tool
EVIDENCE
Evidence Explorer
Discover and compare all all the evidence collected under this thematic area using our Evidence Explorer tool
EVIDENCE
Evidence Explorer
Discover and compare all all the evidence collected under this thematic area using our Evidence Explorer tool
SCORES
SCORES
SCORES
SCORES
Country rankings by Public sector skills development
🇳🇱 Netherlands | Europe | 90.65 |
🇪🇪 Estonia | Europe | 87.82 |
🇫🇷 France | Europe | 82.75 |
🇺🇸 United States of America | North America | 81.11 |
🇺🇾 Uruguay | South and Central America | 80.92 |
🇦🇪 United Arab Emirates | Middle East | 75.37 |
🇸🇮 Slovenia | Europe | 73.77 |
🇭🇺 Hungary | Europe | 71.90 |
🇲🇾 Malaysia | Asia and Oceania | 70.72 |
🇵🇱 Poland | Europe | 66.11 |
🇵🇹 Portugal | Europe | 63.68 |
🇸🇬 Singapore | Asia and Oceania | 63.10 |
🇯🇴 Jordan | Middle East | 57.83 |
🇹🇭 Thailand | Asia and Oceania | 57.52 |
🇻🇳 Vietnam | Asia and Oceania | 55.40 |
🇧🇷 Brazil | South and Central America | 53.96 |
🇯🇵 Japan | Asia and Oceania | 53.75 |
🇮🇪 Ireland | Europe | 51.35 |
🇦🇱 Albania | Europe | 50.00 |
🇩🇪 Germany | Europe | 46.13 |
🇬🇧 United Kingdom of Great Britain and Northern Ireland | Europe | 45.43 |
🇧🇪 Belgium | Europe | 42.76 |
🇫🇮 Finland | Europe | 42.16 |
🇦🇺 Australia | Asia and Oceania | 40.92 |
🇪🇬 Egypt | Africa | 39.10 |
🇷🇴 Romania | Europe | 38.32 |
🇱🇨 Saint Lucia | Caribbean | 38.20 |
🇨🇭 Switzerland | Europe | 35.55 |
🇱🇻 Latvia | Europe | 34.69 |
🇭🇰 China, Hong Kong Special Administrative Region | Asia and Oceania | 34.41 |
🇨🇦 Canada | North America | 34.34 |
🇶🇦 Qatar | Middle East | 34.02 |
🇪🇸 Spain | Europe | 33.00 |
🇦🇹 Austria | Europe | 32.82 |
🇹🇼 Taiwan * | Asia and Oceania | 32.43 |
🇵🇸 Palestine * | Middle East | 31.73 |
🇩🇴 Dominican Republic | Caribbean | 31.64 |
🇰🇷 Republic of Korea | Asia and Oceania | 31.54 |
🇨🇳 China | Asia and Oceania | 30.16 |
🇮🇹 Italy | Europe | 29.10 |
🇮🇳 India | Asia and Oceania | 28.05 |
🇿🇦 South Africa | Africa | 28.05 |
🇸🇦 Saudi Arabia | Middle East | 27.15 |
🇷🇼 Rwanda | Africa | 27.12 |
🇧🇭 Bahrain | Middle East | 26.77 |
🇺🇦 Ukraine | Europe | 26.47 |
🇦🇷 Argentina | South and Central America | 25.87 |
🇬🇷 Greece | Europe | 25.62 |
🇵🇦 Panama | South and Central America | 25.62 |
🇰🇬 Kyrgyz Republic | Asia and Oceania | 25.01 |
🇰🇼 Kuwait | Middle East | 24.73 |
🇴🇲 Oman | Middle East | 24.09 |
🇲🇪 Montenegro | Europe | 22.82 |
🇲🇽 Mexico | North America | 22.09 |
🇵🇪 Peru | South and Central America | 22.03 |
🇧🇯 Benin | Africa | 21.99 |
🇰🇪 Kenya | Africa | 21.96 |
🇳🇵 Nepal | Asia and Oceania | 20.65 |
🇱🇰 Sri Lanka | Asia and Oceania | 19.25 |
🇸🇻 El Salvador | South and Central America | 18.84 |
🇺🇿 Uzbekistan | Asia and Oceania | 18.00 |
🇵🇰 Pakistan | Asia and Oceania | 17.78 |
🇿🇲 Zambia | Africa | 17.41 |
🇩🇿 Algeria | Africa | 17.21 |
🇰🇭 Cambodia | Asia and Oceania | 16.93 |
🇵🇾 Paraguay | South and Central America | 15.05 |
🇵🇭 Philippines | Asia and Oceania | 14.53 |
🇹🇯 Tajikistan | Asia and Oceania | 13.33 |
🇹🇩 Chad | Africa | 10.78 |
🇱🇾 Libya | Africa | 9.83 |
🇨🇷 Costa Rica | South and Central America | 6.46 |
🇹🇹 Trinidad and Tobago | Caribbean | 6.46 |
🇳🇦 Namibia | Africa | 6.15 |
🇰🇿 Kazakhstan | Asia and Oceania | 5.42 |
🇨🇴 Colombia | South and Central America | 4.95 |
🇱🇧 Lebanon | Middle East | 4.90 |
🇸🇱 Sierra Leone | Africa | 4.58 |
🇮🇩 Indonesia | Asia and Oceania | 4.32 |
🇹🇬 Togo | Africa | 4.11 |
🇭🇹 Haiti | Caribbean | 3.75 |
🇦🇿 Azerbaijan | Asia and Oceania | 2.19 |
🇧🇾 Belarus | Europe | 1.82 |
🇦🇫 Afghanistan | Asia and Oceania | 0.00 |
🇦🇬 Antigua and Barbuda | Caribbean | 0.00 |
🇦🇲 Armenia | Asia and Oceania | 0.00 |
🇧🇧 Barbados | Caribbean | 0.00 |
🇧🇿 Belize | Caribbean | 0.00 |
🇧🇹 Bhutan | Asia and Oceania | 0.00 |
🇧🇴 Bolivia (Plurinational State of) | South and Central America | 0.00 |
🇧🇼 Botswana | Africa | 0.00 |
🇧🇬 Bulgaria | Europe | 0.00 |
🇧🇫 Burkina Faso | Africa | 0.00 |
🇧🇮 Burundi | Africa | 0.00 |
🇨🇲 Cameroon | Africa | 0.00 |
🇨🇫 Central African Republic | Africa | 0.00 |
🇨🇱 Chile | South and Central America | 0.00 |
🇨🇮 Côte d'Ivoire | Africa | 0.00 |
🇭🇷 Croatia | Europe | 0.00 |
🇨🇩 Democratic Republic of the Congo | Africa | 0.00 |
🇪🇨 Ecuador | South and Central America | 0.00 |
🇪🇷 Eritrea | Africa | 0.00 |
🇪🇹 Ethiopia | Africa | 0.00 |
🇬🇦 Gabon | Africa | 0.00 |
🇬🇲 Gambia | Africa | 0.00 |
🇬🇪 Georgia | Europe | 0.00 |
🇬🇭 Ghana | Africa | 0.00 |
🇬🇹 Guatemala | South and Central America | 0.00 |
🇬🇳 Guinea | Africa | 0.00 |
🇬🇾 Guyana | Caribbean | 0.00 |
🇭🇳 Honduras | South and Central America | 0.00 |
🇯🇲 Jamaica | Caribbean | 0.00 |
🇽🇰 Kosovo | Europe | 0.00 |
🇱🇦 Lao People's Democratic Republic | Asia and Oceania | 0.00 |
🇱🇸 Lesotho | Africa | 0.00 |
🇱🇷 Liberia | Africa | 0.00 |
🇱🇹 Lithuania | Europe | 0.00 |
🇲🇼 Malawi | Africa | 0.00 |
🇲🇱 Mali | Africa | 0.00 |
🇲🇺 Mauritius | Africa | 0.00 |
🇲🇳 Mongolia | Asia and Oceania | 0.00 |
🇲🇦 Morocco | Africa | 0.00 |
🇲🇿 Mozambique | Africa | 0.00 |
🇲🇲 Myanmar | Asia and Oceania | 0.00 |
🇳🇿 New Zealand | Asia and Oceania | 0.00 |
🇳🇪 Niger | Africa | 0.00 |
🇳🇬 Nigeria | Africa | 0.00 |
🇲🇰 North Macedonia | Europe | 0.00 |
🇲🇩 Republic of Moldova | Europe | 0.00 |
🇸🇳 Senegal | Africa | 0.00 |
🇷🇸 Serbia | Europe | 0.00 |
🇸🇰 Slovakia | Europe | 0.00 |
🇸🇴 Somalia | Africa | 0.00 |
🇸🇸 South Sudan | Africa | 0.00 |
🇹🇳 Tunisia | Africa | 0.00 |
🇹🇲 Turkmenistan | Asia and Oceania | 0.00 |
🇺🇬 Uganda | Africa | 0.00 |
🇹🇿 United Republic of Tanzania | Africa | 0.00 |
🇿🇼 Zimbabwe | Africa | 0.00 |
*In the table above, data was collected for Chinese Taipei (commonly referred to as Taiwan) and the West Bank, which is under the administration of the Palestinian Authority. No data collection took place in Gaza. We recognize that these are, at the time of writing, disputed jurisdictions.
FEEDBACK
FEEDBACK
FEEDBACK
FEEDBACK
We welcome any feedback with regards to insights from the Index for the thematic areas. Feel free to reach out girai[at]globalcenter.ai
REPORT 2024
Global Index on Responsible AI Report 2024
Uniquely measured across human rights-based benchmarks, discover the evidence, trends, scoring and rankings of 138 countries globally.
REPORT 2024
Global Index on Responsible AI Report 2024
Uniquely measured across human rights-based benchmarks, discover the evidence, trends, scoring and rankings of 138 countries globally.
REPORT 2024
Global Index on Responsible AI Report 2024
Uniquely measured across human rights-based benchmarks, discover the evidence, trends, scoring and rankings of 138 countries globally.
REPORT 2024
Global Index on Responsible AI Report 2024
Uniquely measured across human rights-based benchmarks, discover the evidence, trends, scoring and rankings of 138 countries globally.
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