Measuring responsible AI in 136 countries
Measuring responsible AI in 136 countries
Measuring responsible AI in 136 countries
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
Download the full report of the Global Index on Responsible AI 2024
Download the full report of the Global Index on Responsible AI 2024
Top 10 takeaways
Top 10 takeaways
Top 10 takeaways
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 in AI economies are not adequately protected
6. Workers in AI economies are not adequately protected
6. Workers in AI economies are not adequately protected
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
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.
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© 2024 Global Index on Responsible AI
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© 2024 Global Index on Responsible AI
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© 2024 Global Index on Responsible AI