Global Index on Responsible AI (2nd Edition, July 2026) - Sign up to receive it at launch.

Results 2024

Methodology

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Global Center on AI Governance

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Measuring the responsible development of AI in 138 countries
Global Index on Responsible AI (2nd Edition, July 2026) - Sign up to receive it at launch.

Results 2024

Methodology

About

DataVIZ Challenge

Global Center on AI Governance

Contact Us

MAIN FINDINGS

Major gaps in responsible AI

Major gaps in responsible AI

The First Edition of the Global Index on Responsible AI revealed that global progress toward responsible AI is lagging far behind the development and adoption of AI. There are major gaps across the world and in core areas of responsible AI, particularly areas related to protecting the rights of underserved and marginalized groups.

REPORT 2024

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

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Top 10 takeaways

Top 10 takeaways

1. AI governance does not translate into responsible AI

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

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

6. Workers in AI economies are not adequately protected

7. Responsible AI must incorporate cultural and linguistic diversity

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

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

KEY INSIGHTS

Three key insights emerged

1

Many efforts to promote responsible AI are embedded in broader government AI strategies, which lack specific measures related to human rights considerations, such as gender equality. This trend highlights the need for comprehensive policies, recommendations, and guidelines based on human-centered approaches, with particular attention to human rights.

2

The measurement of responsible AI must take into account the responsibilities of actors across the entire AI lifecycle and ecosystems, including government actions beyond establishing frameworks.

3

As international cooperation on responsible AI is an area of shared commitment between countries around the world, there is a key lever for strengthening the role of global communities in collaboratively monitoring responsible AI progress in practice.

1

Many efforts to promote responsible AI are embedded in broader government AI strategies, which lack specific measures related to human rights considerations, such as gender equality. This trend highlights the need for comprehensive policies, recommendations, and guidelines based on human-centered approaches, with particular attention to human rights.

2

The measurement of responsible AI must take into account the responsibilities of actors across the entire AI lifecycle and ecosystems, including government actions beyond establishing frameworks.

3

As international cooperation on responsible AI is an area of shared commitment between countries around the world, there is a key lever for strengthening the role of global communities in collaboratively monitoring responsible AI progress in practice.

1

Many efforts to promote responsible AI are embedded in broader government AI strategies, which lack specific measures related to human rights considerations, such as gender equality. This trend highlights the need for comprehensive policies, recommendations, and guidelines based on human-centered approaches, with particular attention to human rights.

2

The measurement of responsible AI must take into account the responsibilities of actors across the entire AI lifecycle and ecosystems, including government actions beyond establishing frameworks.

3

As international cooperation on responsible AI is an area of shared commitment between countries around the world, there is a key lever for strengthening the role of global communities in collaboratively monitoring responsible AI progress in practice.

1

Many efforts to promote responsible AI are embedded in broader government AI strategies, which lack specific measures related to human rights considerations, such as gender equality. This trend highlights the need for comprehensive policies, recommendations, and guidelines based on human-centered approaches, with particular attention to human rights.

2

The measurement of responsible AI must take into account the responsibilities of actors across the entire AI lifecycle and ecosystems, including government actions beyond establishing frameworks.

3

As international cooperation on responsible AI is an area of shared commitment between countries around the world, there is a key lever for strengthening the role of global communities in collaboratively monitoring responsible AI progress in practice.