Measuring responsible AI in 136 countries

Results 2024

Methodology

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Global Center on AI Governance

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Measuring responsible AI in 136 countries

Results 2024

Methodology

About

Say hello

Measuring responsible AI in 136 countries
RESULTS

Global Index on Responsible AI: 2024 Results

Global Index on Responsible AI: 2024 Results

Explore the data on commitments and progress towards responsible AI in 138 countries.

Key findings

Top 10 Takeaways of the Global Index on Responsible AI

1. AI governance does not translate into responsible AI

1. AI governance does not translate into responsible AI

1. AI governance does not translate into responsible AI

2. Mechanisms ensuring the protection of human rights in the context of AI are limited

2. Mechanisms ensuring the protection of human rights in the context of AI are limited

2. Mechanisms ensuring the protection of human rights in the context of AI are limited

3. International cooperation is an important cornerstone of current responsible AI practices

3. International cooperation is an important cornerstone of current responsible AI practices

3. International cooperation is an important cornerstone of current responsible AI practices

4. Gender equality remains a critical gap in efforts to advance responsible AI

4. Gender equality remains a critical gap in efforts to advance responsible AI

4. Gender equality remains a critical gap in efforts to advance responsible AI

5. Key issues of inclusion and equality in AI are not being addressed

5. Key issues of inclusion and equality in AI are not being addressed

5. Key issues of inclusion and equality in AI are not being addressed

6. Workers are not adeqautely protected from use of AI

6. Workers are not adeqautely protected from use of AI

6. Workers are not adeqautely protected from use of AI

7. Responsible AI must incorporate cultural and linguistic diversity

7. Responsible AI must incorporate cultural and linguistic diversity

7. Responsible AI must incorporate cultural and linguistic diversity

8. There are major gaps in ensuring the safety, security and reliability of AI systems

8. There are major gaps in ensuring the safety, security and reliability of AI systems

8. There are major gaps in ensuring the safety, security and reliability of AI systems

9. Universities and civil society are playing crucial roles in advancing responsible AI

9. Universities and civil society are playing crucial roles in advancing responsible AI

9. Universities and civil society are playing crucial roles in advancing responsible AI

10. There is still a long way to achieve adequate levels of responsible AI worldwide

10. There is still a long way to achieve adequate levels of responsible AI worldwide

10. There is still a long way to achieve adequate levels of responsible AI worldwide

Explore Key Findings

Explore Key Findings

Country level scores

Countries' scores in the 2024 edition of the Global Index on Responsible AI

For more detailed information on country level scores click the link below.

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SCORES

Regional scores

Regional average scores through the lens of pillars and dimensions

Learn more about the regional analysis and data from the Index, developed in collaboration with regional experts on responsible AI

Explore regional insights

Dive into the different thematic areas, global trends, and examples of progress made toward the responsible development of AI worldwide.

Explore thematic insights

OUR METHODS
TEAM

Measuring Responsible AI

The Global Index on Responsible AI measures 19 thematic areas of responsible AI, across three dimensions: Human Rights and AI, Responsible AI Governance and Responsible AI Capacities. Each thematic area assesses the performance of three different pillars of the responsible AI ecosystem: Government frameworks, Government actions, and Non-state actors’ initiatives.

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REPORT 2024

Download the complete report of the Global Index on Responsible AI 2024

Download the complete report of the Global Index on Responsible AI 2024

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