GIRAI_2024_Edition_Data

	A	B	C	D	E	F	H	I
1				c
2	All columns name starting with "fr_" refer to the Government frameworks pillar
3	All columns name starting with "ga_" refer to the Government actions pillar
4	All columns name starting with "nsa_" refer to the Non-state actors pillar
5	All columns name starting with "nsa_au" refer to the Non-state actors from Academia
6	All columns name starting with "nsa_cs" refer to the Non-state actors from Civil Society
7	All columns name starting with "nsa_ps" refer to the Non-state actors from the Private Sector
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9	DATA TAB				RANKINGS AND SCORES TAB		COEFFICIENTS TAB
10	Column	Definition	Values		Column	Definition	Column	Definition

11	country	name of the country or territory. (*)			Ranking	position of a country in the overall ranking based on the Global Index score	ISO3	three-letter code representing a country according to ISO 3166-1 alpha-3 standard.
12	ISO3	three-letter code representing a country, dependent territory, or special area of geographical interest according to ISO 3166-1 alpha-3 standard			ISO3	three-letter country code according to the ISO 3166-1 alpha-3 standard	Country	name of the country or territory.
13	GIRAI_region	region to which the country belongs according to the GIRAI classification	Africa, Asia and Oceania, Caribbean, Europe, South and Central America, Middle East, North America		Country	name of the country or territory. (*)	rule_of_law	score in the Rule of Law series from the Worldwide Governance Indicators, year 2022.
14	GIRAI_subregion	subregion to which the country belongs according to the GIRAI classification.	Africa: Central Africa, East Africa, North Africa, South Africa, West Africa Asia and Oceania: East Asia, North West Asia, Oceania (Pacific), South East Asia, South West Asia Caribbean: no subregions Europe: Balkans (South East Europe), Central Europe, Eastern Europe, North Europe, Western Europe South and Central America: Central America, South America Middle East: no subregions North America: no subregions		GIRAI_region	region to which the country belongs according to the GIRAI classification.	rule_of_law_imputed	indicates whether the rule of law score was imputed for countries with missing data. True for imputed values, false otherwise.
15	UN_region	continental regions according to the UN M49 standard	Africa, Americas, Asia, Europe, Oceania		UN_region	continental regions according to the UN M49 standard	regulatory_quality	score in the Regulatory Quality series from the Worldwide Governance Indicators, year 2022.
16	UN_sub_region	geographical subregions according to the UN M49 standard	Australia and New Zealand, Central Asia, Eastern Asia, Eastern Europe, Latin America and the Caribbean, Melanesia, Micronesia, Northern Africa, Northern America, Northern Europe, Polynesia, South-eastern Asia, Southern Asia, Southern Europe, Sub-Saharan Africa, Western Asia, Western Europe		UN_sub_region	geographical subregions according to the the UN M49 standard	regulatory_quality_imputed	indicates whether the regulatory quality score was imputed for countries with missing data. True for imputed values, false otherwise.
17	dimension	name of the dimension	Responsible AI Governance, Human Rights and AI, Responsible AI Capacities		Index score	total index score of the country	frameworks_coefficient	calculated coefficient for government frameworks, as the average of regulatory quality and rule of law scores.
18	thematic_area	name of the thematic area measured	Access to Remedy and Redress, Bias and Unfair Discrimination, Children's Rights, Competitions Authorities, Cultural and Linguistic Diversity, Data Protection and Privacy, Gender Equality, Human Oversight and Determination, Impact Assessments, International Cooperation, Labour Protection and Right to Work, National AI Policy, Proportionality and Do No Harm, Public Participation and Awareness, Public Procurement, Public Sector Skills Development, Responsibility and Accountability, Safety, Accuracy and Reliability, Transparency and Explainability.		Pillar scores	overall score of Government frameworks, Government actions and Non-state actors pillars for a country	frameworks_coefficient_rescaled	rescaled frameworks coefficient using 0.25 as the lower bound. This is achieved by first multiplying the original coefficient value by 0.75 (which is the result of subtracting 0.25 from the maximum value of 1). Then, we add 0.25 to the result of that calculation, which raises the minimum possible value of the coefficient to 0.25, while keeping the maximum value at 1.
19	enforceability_benchmark	standard used to assess the strength of Government frameworks accross the different Thematic Areas	legally-enforceable binding		Dimension scores	overall score of Human Rights and AI, Responsible AI Governanca and Responsible AI Capacities dimensions for a country	government_efectiveness	score in the Government Effectiveness series from the Worldwide Governance Indicators, year 2022.
20	fr_coefficient	country-specific secondary data coefficient for Government frameworks	ranges from 0 to 1		Coefficients	country-specific secondary data coefficients accounting for the effectiveness of Government frameworks, Government actions and the enabling environment for Non-state actors in each country	government_efectiveness_imputed	indicates whether the Government Efectiveness score was imputed for countries with missing data. True for imputed values, false otherwise.
21	ga_coefficient	country-specific secondary data coefficient for Government actions	ranges from 0 to 1				control_of_corruption	score in the Control of Corruption series from the Worldwide Governance Indicators, year 2022.
22	nsa_coefficient	country-specific secondary data coefficient for Non-state actors	ranges from 0 to 1				control_of_corruption_imputed	indicates whether the control of corruption score was imputed for countries with missing data. True for imputed values, false otherwise.
23	ta_score	fr_weighted_score + ga_weighted_score + nsa_weighted_score	ranges from 0 to 100				government_actions_coefficient	calculated coefficient for government actions, as the average of government efectiveness and control of corruption scores.
24	fr_weighted_score	fr_adjust_score * 40%	ranges from 0 to 40				government_actions_coefficient_rescaled	rescaled government actions coefficient using 0.25 as the lower bound. See frameworks_coefficient_rescaled above.
25	ga_weighted_score	ga_adjust_score * 40%	ranges from 0 to 40				freedom_of_expression_and_belief	score in the Freedom of Expression and Belief series from the Freedom in the World Index. Year 2023
26	nsa_weighted_score	nsa_adjust_score * 20%	ranges from 0 to 20				freedom_of_expression_and_belief_imputed	imputed freedom of expression and belief score for countries with missing data.
27	fr_adjust_score	fr_norm_score * country specific coefficient for Government frameworks pillar	ranges from 0 to 100				associational_and_organisational_rights	score in the Associational and Organisational Rights series from the Freedom in the World Index. Year 2023
28	ga_adjust_score	ga_norm_score * country specific coefficient for Government actions pillar	ranges from 0 to 100				associational_and_organisational_rights_imputed	imputed score for associational and organizational rights for countries with missing data.
29	nsa_adjust_score	nsa_norm_score * country specific coefficient for Non-state actors pillar	ranges from 0 to 100				freedom_of_expression_and_belief_norm	normalized score for freedom of expression and belief, using the min-max method, with a new range of 0-1.
30	fr_norm_score	points assigned to Government frameworks indicator according to GIRAI scoring rules, normalised into a 0-100 range	ranges from 0 to 100				associational_and_organisational_rights_norm	normalized score for associational and organisational rights, using the min-max method, with a new range of 0-1.
31	ga_norm_score	points assigned to Government actions indicator according to GIRAI scoring rules, normalised into a 0-100 range	ranges from 0 to 100				nsa_coefficient	coefficient for non-state actors calculated as the average from the normalized scores of freedom of expression and associational rights.
32	nsa_norm_score	points assigned to Non-state actors indicator according to GIRAI scoring rules, normalised into a 0-100 range	ranges from 0 to 100				nsa_coefficient_rescaled	rescaled non-state actors coefficient using 0.25 as the lower bound. See frameworks_coefficient_rescaled above.
33	fr_raw_score	points assigned to Government frameworks indicator according to GIRAI scoring rules	0 No framework addressin the thematic area 1 Non-binding frameworks 2 Binding frameworks 3 Legally-enforceable frameworks
34	ga_raw_score	points assigned to Government actions indicator according to GIRAI scoring rules	0 No evidence of government actions was found in relation to the thematic area 0.9 -The country either already has a framework in place, but the action identified involves developing a new framework; or - No framework was identified, but there is evidence of other government actions unrelated to framework development 1 -The country has an adopted framework in place for the thematic area, and the government action reflects the implementation of this existing framework, or -The country does not have an adopted framework in place for the thematic area, but the government action is related to developing a new framework
35	nsa_raw_score	points assigned to Non-state actors indicator according to GIRAI scoring rules	0 No evidence of non-state actors working towards the thematic area 1 Evidence of non-state actors from one sector working towards the thematic area 2 Evidence of non-state actors from two sectors working towards the thematic area 3 Evidence of non-state actors from all the three sectors working towards the thematic area
36	fr_doc1_existence (_num and _text)	Are there in the country national/federal laws, regulations, policies, strategies, plans and/or guidelines that specifically speak to Artificial Intelligence and the thematic area?	0 No, there aren't 1 Yes, there are
37	fr_doc1_title_english	What is the title of the document in English?	Title of the document translated to English
38	fr_doc1_url	What is the URL or web address where the document can be found?	link to the document
39	fr_doc1_type (_num and _text)	What is the type of the document?	1 Legally-enforceable frameworks 2 Binding frameworks 3 Non-binding frameworks
40	ga_existence (_num and _text)	Is there evidence of actions of the national/federal government to address Artificial Intelligence and the thematic area?	0 No, there is no evidence of government actions to address the thematic area 1 Yes, there is evidence of government actions to address the thematic area
41	ga_title	What is the title of the action in English?	title of the action in English
42	ga_url	What is the URL or web address where the evidence of the action can be found?	link to the webpage of the government action
43	ga_type (_num and _text)	What is the type of the action?	1 Draft frameworks 2 Operational and annual performance plans 3 Plans and programmes 4 Projects 5 Grants and subsidies 6 Budget allocation 7 Requests for proposals 8 Research and reports 9 Training and courses 10 Establishing partnerships and collaborations 11 Establishing commissions and expert working groups 12 Parliament discussions 13 Assigning the development of AI policy to a specific government body 14 Establishment of government bodies 15 Hearings 16 Conferences and workshops 17 Public awareness events and campaigns 18 Public consultations 19 State-based non-judicial mechanisms 99 Other
44	ga_draft_type	What is the type of the draft?	refer to fr_doc1_type
45	nsa_existence	Count of the number of initiatives carried-on by non-state actors (nsa) towards the Thematic Area	0 No initiatives from NSA towards the thematic area 1 Initiatives from actors from 1 sectors 2 Initiatives from actors from 2 sectors 3 Initiatives from actors from 3 sectors
46	nsa_au_existence (_num and _text)	Are there any actors from academia or university working towards the thematic area in the country?	0 No, there aren't 1 Yes, there are
47	nsa_au_name_english	What is the name of the actor in English?	name in English of the academic actor
48	nsa_au_url	Please provide the website of the actor.	link to the webpage of the actor from academia / university
49	nsa_au_type (_num and _text)	What is the type of this private sector actor?	1 Public University 2 Private University 3 Research Council 4 Research Institute 99 Other
50	nsa_au_action_title	What is the name of the initiative in English?	title of the action in English
51	nsa_au_action_url	What is the URL or web address where evidence about this initiative can be found?	link to the evidence of the initiative carried out by this actor from academia/university towards the thematic area
52	nsa_au_action_type (_num and _text)	What is the type of this initiative?	1 Research and analysis 2 Advocacy and public awareness campaigns 3 Developing ethical guidelines, standards, and best practices 4 Establishing partnerships and collaborations 5 Legal assistance and action 6 Non-state mechanisms 7 Training and courses 8 Conferences and workshops 99 Other
53	nsa_cs_existence (_num and _text)	Are there any actors from the civil society working towards the thematic area in the country?	0 No, there aren't 1 Yes, there are
54	nsa_cs_name_english	What is the name of the actor in English?	name in English of the actor from civil society
55	nsa_cs_url	Please provide the website of the actor.	link to the webpage of the actor from civil society
56	nsa_cs_type (_num and _text)	What is the type of this private sector actor?	1 Professional association 2 Sectoral organisation 3 Independent research institute 4 Community-based organisation 5 Faith-based organisation 6 Social movement 7 Labour union 99 Other
57	nsa_cs_action_title	What is the name of the initiative in English?	title of the action in English
58	nsa_cs_action_url	What is the URL or web address where evidence about this initiative can be found?	link to the evidence of the initiative carried out by this actor from civil society towards the thematic area
59	nsa_cs_action_type (_num and _text)	What is the type of this initiative?	1 Research and analysis 2 Advocacy and public awareness campaigns 3 Developing ethical guidelines, standards, and best practices 4 Establishing partnerships and collaborations 5 Legal assistance and action 6 Non-state mechanisms 7 Training and courses 8 Conferences and workshops 99 Other
60	nsa_ps_existence (_num and _text)	Are there any actors from the private sector working towards the thematic area in the country?	0 No, there aren't 1 Yes, there are
61	nsa_ps_name_english	What is the name of the actor in English?	name in English of the actor from private sector
62	nsa_ps_url	Please provide the website of the actor.	link to the webpage of the actor from the private sector
63	nsa_ps_type (_num and _text)	What is the type of this private sector actor?	1 State owned enterprise 2 Company 99 Other
64	nsa_ps_action_title	What is the name of the initiative in English?	title of the action in English
65	nsa_ps_action_url	What is the URL or web address where evidence about this initiative can be found?	link to the evidence of the initiative carried out by this actor from the private sector towards the thematic area
66	nsa_ps_action_type (_num and _text)	What is the type of this initiative?	1 Research and analysis 2 Advocacy and public awareness campaigns 3 Developing ethical guidelines, standards, and best practices 4 Establishing partnerships and collaborations 5 Legal assistance and action 6 Non-state mechanisms 7 Training and courses 8 Conferences and workshops 99 Other
67	year	index year	2023
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69	(*) 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.
70	Note: In the Thematic Area "International Cooperation" for Chad, the country was initially awarded 1 point under the Government actions pillar because it did not have a framework in place, and the identified government action was classified as "Draft frameworks." However, after the index scores were published, we identified an error in this classification. The correct classification should have been "Establishing partnerships and collaborations," which would correspond to a score of 0.9 points for the Government actions pillar. Although the action type was corrected post-publication, no adjustments were made to the published scores.
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