Measuring responsible AI in 136 countries
Measuring responsible AI in 136 countries
THEMATIC AREAS
THEMATIC AREAS
Impact assessments
Impact assessments
This thematic area measures steps countries have taken to integrate impact assessments, including both ex-ante and ex-post impact assessments, into the design, development, use and deployment of AI technologies
An impact assessment can be defined as ‘a structured process for considering the implications, for people and their environment, of proposed actions while there is still an opportunity to modify [or abandon] the proposed actions’, if the impact they pose contains a potential or actual threat of harm.
Harm, in this context, can be defined as ‘a wrongful setback or injury’ and, in legal terms, is often expressed as a ‘violation of an interest’. It is also important to note that harms can occur at the individual, communal, and societal levels.
SCORES
SCORES
SCORES
Country and regional scores
Bright spots
Goverment Frameworks - Republic of Korea
Goverment Frameworks - Republic of Korea
Goverment Frameworks - Republic of Korea
Goverment Frameworks - Republic of Korea
Government actions - Costa Rica
Government actions - Costa Rica
Government actions - Costa Rica
Government actions - Costa Rica
Civil Society - Brazil
Civil Society - Brazil
Civil Society - Brazil
Civil Society - Brazil
Background
In the context of AI, impact assessments are tools for predicting anticipated consequences and evaluating actual outcomes in terms of benefits and harms. They require users of AI technologies to consider the type and scope of impact both before and after deployment.
There are two types of impact assessments:
Ex-ante impact assessment: Analyzes potential benefits and harms of an AI system in a specific context before deployment.
Ex-post impact assessment: Evaluates the actual benefits and harms of an AI system after deployment.
Background
In the context of AI, impact assessments are tools for predicting anticipated consequences and evaluating actual outcomes in terms of benefits and harms. They require users of AI technologies to consider the type and scope of impact both before and after deployment.
There are two types of impact assessments:
Ex-ante impact assessment: Analyzes potential benefits and harms of an AI system in a specific context before deployment.
Ex-post impact assessment: Evaluates the actual benefits and harms of an AI system after deployment.
Relevance
AI can significantly impact social, economic, and environmental aspects of life, offering both benefits and harms. Building responsible AI systems requires ongoing assessment of these impacts to ensure that measures can be taken to modify, revise, or discontinue the use of an AI system if it poses a serious threat of actual or potential harm at individual, communal, or societal levels.
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 Impact assessments
🇳🇱 Netherlands | Europe | 97.31 |
🇩🇪 Germany | Europe | 93.70 |
🇬🇧 United Kingdom of Great Britain and Northern Ireland | Europe | 92.64 |
🇫🇮 Finland | Europe | 92.34 |
🇪🇪 Estonia | Europe | 87.82 |
🇨🇦 Canada | North America | 82.97 |
🇫🇷 France | Europe | 82.75 |
🇸🇮 Slovenia | Europe | 80.29 |
🇮🇹 Italy | Europe | 79.01 |
🇵🇹 Portugal | Europe | 73.93 |
🇯🇵 Japan | Asia and Oceania | 72.55 |
🇺🇸 United States of America | North America | 68.78 |
🇸🇰 Slovakia | Europe | 67.19 |
🇮🇳 India | Asia and Oceania | 65.65 |
🇦🇪 United Arab Emirates | Middle East | 58.31 |
🇮🇪 Ireland | Europe | 58.02 |
🇧🇷 Brazil | South and Central America | 57.75 |
🇨🇳 China | Asia and Oceania | 56.46 |
🇹🇼 Taiwan * | Asia and Oceania | 55.98 |
🇷🇴 Romania | Europe | 52.60 |
🇱🇹 Lithuania | Europe | 48.22 |
🇰🇷 Republic of Korea | Asia and Oceania | 47.62 |
🇦🇹 Austria | Europe | 43.81 |
🇬🇷 Greece | Europe | 41.50 |
🇱🇻 Latvia | Europe | 41.05 |
🇳🇿 New Zealand | Asia and Oceania | 39.36 |
🇭🇺 Hungary | Europe | 38.97 |
🇵🇭 Philippines | Asia and Oceania | 37.97 |
🇵🇱 Poland | Europe | 36.58 |
🇧🇪 Belgium | Europe | 36.25 |
🇰🇼 Kuwait | Middle East | 35.67 |
🇪🇸 Spain | Europe | 33.00 |
🇲🇰 North Macedonia | Europe | 32.75 |
🇺🇾 Uruguay | South and Central America | 32.50 |
🇵🇸 Palestine * | Middle East | 31.58 |
🇺🇦 Ukraine | Europe | 31.00 |
🇬🇪 Georgia | Europe | 30.73 |
🇸🇬 Singapore | Asia and Oceania | 30.09 |
🇭🇷 Croatia | Europe | 29.46 |
🇨🇱 Chile | South and Central America | 29.25 |
🇨🇷 Costa Rica | South and Central America | 28.40 |
🇻🇳 Vietnam | Asia and Oceania | 28.12 |
🇹🇭 Thailand | Asia and Oceania | 27.31 |
🇲🇽 Mexico | North America | 27.09 |
🇧🇬 Bulgaria | Europe | 26.70 |
🇲🇦 Morocco | Africa | 24.77 |
🇸🇳 Senegal | Africa | 22.59 |
🇭🇰 China, Hong Kong Special Administrative Region | Asia and Oceania | 22.01 |
🇪🇬 Egypt | Africa | 20.05 |
🇯🇴 Jordan | Middle East | 19.60 |
🇿🇦 South Africa | Africa | 19.53 |
🇸🇦 Saudi Arabia | Middle East | 18.19 |
🇷🇸 Serbia | Europe | 12.89 |
🇲🇪 Montenegro | Europe | 10.83 |
🇦🇷 Argentina | South and Central America | 9.56 |
🇦🇺 Australia | Asia and Oceania | 6.51 |
🇬🇾 Guyana | Caribbean | 6.30 |
🇧🇼 Botswana | Africa | 5.62 |
🇱🇾 Libya | Africa | 5.52 |
🇵🇪 Peru | South and Central America | 5.26 |
🇨🇴 Colombia | South and Central America | 4.95 |
🇱🇧 Lebanon | Middle East | 4.90 |
🇹🇳 Tunisia | Africa | 4.84 |
🇰🇪 Kenya | Africa | 4.69 |
🇮🇩 Indonesia | Asia and Oceania | 4.32 |
🇶🇦 Qatar | Middle East | 3.18 |
🇨🇲 Cameroon | Africa | 2.71 |
🇪🇹 Ethiopia | Africa | 2.71 |
🇺🇿 Uzbekistan | Asia and Oceania | 2.50 |
🇹🇯 Tajikistan | Asia and Oceania | 1.87 |
🇦🇫 Afghanistan | Asia and Oceania | 0.00 |
🇦🇱 Albania | Europe | 0.00 |
🇩🇿 Algeria | Africa | 0.00 |
🇦🇬 Antigua and Barbuda | Caribbean | 0.00 |
🇦🇲 Armenia | Asia and Oceania | 0.00 |
🇦🇿 Azerbaijan | Asia and Oceania | 0.00 |
🇧🇭 Bahrain | Middle East | 0.00 |
🇧🇧 Barbados | Caribbean | 0.00 |
🇧🇾 Belarus | Europe | 0.00 |
🇧🇿 Belize | Caribbean | 0.00 |
🇧🇯 Benin | Africa | 0.00 |
🇧🇹 Bhutan | Asia and Oceania | 0.00 |
🇧🇴 Bolivia (Plurinational State of) | South and Central America | 0.00 |
🇧🇫 Burkina Faso | Africa | 0.00 |
🇧🇮 Burundi | Africa | 0.00 |
🇰🇭 Cambodia | Asia and Oceania | 0.00 |
🇨🇫 Central African Republic | Africa | 0.00 |
🇹🇩 Chad | Africa | 0.00 |
🇨🇮 Côte d'Ivoire | Africa | 0.00 |
🇨🇩 Democratic Republic of the Congo | Africa | 0.00 |
🇩🇴 Dominican Republic | Caribbean | 0.00 |
🇪🇨 Ecuador | South and Central America | 0.00 |
🇸🇻 El Salvador | South and Central America | 0.00 |
🇪🇷 Eritrea | Africa | 0.00 |
🇬🇦 Gabon | Africa | 0.00 |
🇬🇲 Gambia | Africa | 0.00 |
🇬🇭 Ghana | Africa | 0.00 |
🇬🇹 Guatemala | South and Central America | 0.00 |
🇬🇳 Guinea | Africa | 0.00 |
🇭🇹 Haiti | Caribbean | 0.00 |
🇭🇳 Honduras | South and Central America | 0.00 |
🇯🇲 Jamaica | Caribbean | 0.00 |
🇰🇿 Kazakhstan | Asia and Oceania | 0.00 |
🇽🇰 Kosovo | Europe | 0.00 |
🇰🇬 Kyrgyz Republic | Asia and Oceania | 0.00 |
🇱🇦 Lao People's Democratic Republic | Asia and Oceania | 0.00 |
🇱🇸 Lesotho | Africa | 0.00 |
🇱🇷 Liberia | Africa | 0.00 |
🇲🇼 Malawi | Africa | 0.00 |
🇲🇾 Malaysia | Asia and Oceania | 0.00 |
🇲🇱 Mali | Africa | 0.00 |
🇲🇺 Mauritius | Africa | 0.00 |
🇲🇳 Mongolia | Asia and Oceania | 0.00 |
🇲🇿 Mozambique | Africa | 0.00 |
🇲🇲 Myanmar | Asia and Oceania | 0.00 |
🇳🇦 Namibia | Africa | 0.00 |
🇳🇵 Nepal | Asia and Oceania | 0.00 |
🇳🇪 Niger | Africa | 0.00 |
🇳🇬 Nigeria | Africa | 0.00 |
🇴🇲 Oman | Middle East | 0.00 |
🇵🇰 Pakistan | Asia and Oceania | 0.00 |
🇵🇦 Panama | South and Central America | 0.00 |
🇵🇾 Paraguay | South and Central America | 0.00 |
🇲🇩 Republic of Moldova | Europe | 0.00 |
🇷🇼 Rwanda | Africa | 0.00 |
🇱🇨 Saint Lucia | Caribbean | 0.00 |
🇸🇱 Sierra Leone | Africa | 0.00 |
🇸🇴 Somalia | Africa | 0.00 |
🇸🇸 South Sudan | Africa | 0.00 |
🇱🇰 Sri Lanka | Asia and Oceania | 0.00 |
🇨🇭 Switzerland | Europe | 0.00 |
🇹🇬 Togo | Africa | 0.00 |
🇹🇹 Trinidad and Tobago | Caribbean | 0.00 |
🇹🇲 Turkmenistan | Asia and Oceania | 0.00 |
🇺🇬 Uganda | Africa | 0.00 |
🇹🇿 United Republic of Tanzania | Africa | 0.00 |
🇿🇲 Zambia | 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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© 2024 Global Index on Responsible AI
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