Background

The Global Index on Responsible AI (GIRAI) is the first tool to set globally-relevant benchmarks for responsible AI and assess them in countries around the world. This study constitutes the largest global data collection on responsible AI to-date. In its first edition, the Global Index on Responsible AI covers 138 countries and jurisdictions, including 41 countries from Africa.

Defining Responsible AI Responsible AI refers to the design, development, deployment and governance of AI in a way that respects and protects all human rights and upholds the principles of AI ethics through every stage of the AI lifecycle and value chain. It requires all actors involved in the national AI ecosystem to take responsibility for the human, social and environmental impacts of their decisions.

The responsible design, deployment and governance of AI are proportionate to the purpose of its use and meet the technological needs of the individuals and societies it seeks to serve.

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Key Findings

The first edition of the Global Index on Responsible AI (GIRAI) revealed that global progress toward responsible AI is lagging far behind the development and adoption of AI. There are major gaps across many parts of the world and in many core areas of responsible AI, especially those areas related to protecting the rights of vulnerable or marginalized groups.

Top 10 Takeaways of the Global Index on 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

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