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AI-related research publications have increased exponentially since the year 2000. From less than 100k publications in 2000 to more than 550k in 2021, with the United States, the European Union and China producing over 70% of the publications.

According to an estimate by Deloitte (2019), the global AI market could reach $6.4 trillion by 2025, with a high volume of AI-related startups propping up in the United States, China and a few other OECD countries.

This high concentration of AI technologies in a small number of advanced economies put other emerging economies at risk of missing out on the economic and developmental benefits from AI technologies.

Additionally, biases may arise in newly developed AI technologies that may aggravate social marginalization for underrepresented groups. As developing countries are less represented in digital data, machine learning models could result in outcomes that are inaccurate, unsafe and may discriminate unfairly against underrepresented groups.

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