Global AI strategy releases have decreased overall, attributed to fewer strategies from higher-income countries. However, this year sees a marked shift with half of the launched or announced strategies coming from low and lower middle income nations. Notably, Rwanda became the first low-income country to publish an AI strategy.
High income countries score much higher than countries in any other income group in the Technology Sector pillar, with the gap between high income and upper middle income countries larger than the gaps between all other income groups combined in some cases. However, large middle income countries like Malaysia and the BRIC countries outperform their income groups and rank among the top 50 countries worldwide in this pillar.
The Data and Infrastructure pillar underscores a significant digital divide, both between income groups and regions. While generative AI holds promise for lower-income countries, lacking a solid foundation in data and infrastructure may lead to reliance on foreign technology, introducing hurdles like language disparities and biases. Addressing these challenges is essential for fostering equitable and inclusive progress in AI readiness globally.
In 2023, global collaboration on AI governance surged, marked by increased international AI summits and the release of proposed frameworks such as the G7’s International Guiding Principles. Regional collaboration also expanded, as seen in agreements like the Santiago Declaration in Latin America. Notably, AI is now integral to the international development agenda, with countries like Rwanda and Senegal publishing national AI strategies with the support of cooperation agencies.
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