Can AI truly revolutionize the everyday lives of a substantial number of people worldwide in a beneficial manner?

In a world where Artificial Intelligence (AI) is increasingly shaping industries and economies, concerns about its impact on the global majority are mounting. The AI sector, projected to be worth USD 4.8 trillion by 2033 according to UNCTAD, primarily benefits the global north, leaving many nations in the global majority at a disadvantage.

AI has the potential to exacerbate inequalities affecting the global majority, but this outcome is not set in stone. The tools being mainstreamed were primarily designed for consumers in the global north, often neglecting the unique needs and priorities of the global majority. This digital divide is evident in the AI tools adopted by the public, many of which were created in the global north, reflecting the needs of a select few.

The AI-powered technologies imported to countries they were not built for may cause more problems for users in the global majority. These tools are trained on data rife with biases about the global majority, digitizing stereotypes and tropes that can lead to biases and falsehoods in their outputs. This can have far-reaching consequences, from misrepresenting cultural nuances to reinforcing existing inequalities.

The adoption of AI across industries could lead to the elimination of jobs at scale for workers in lower-income countries. Workers in the global majority who lack in-demand skills may lose the roles they depended on due to the adoption of AI. This is particularly concerning in situations where there is a lack of policy infrastructure, as the damage from AI may already be done.

Countries and regions in the Global South are collaborating to counter the dominance of the Global North in AI development. By building digital ecosystems tailored to the needs of the global majority, they aim to create better AI tools that address the unique challenges faced by these regions. Nurturing the creation of a digital ecosystem in the global majority, with support for grassroots innovators, is essential to challenge the dominance of the global north in this field.

Establishing spaces where leaders across the global south can discuss rules and standards for AI could enable officials to deepen their expertise. Some countries have begun crafting regulations designed to minimize AI-related harms, but many do not yet have the policy infrastructure to take on this challenge. Many nations in the global majority do not have robust or reliable safeguards to prevent citizens from enduring financial hardship during economic upheaval.

Launching skill-building initiatives and strengthening social programs may help citizens in the global majority climb out of economic vulnerability. In times of unemployment spikes, the likelihood that many citizens in the global majority slip through the cracks to face poverty increases. Opportunities for these individuals to boost their capacities are rarer compared to their peers in the global north.

In conclusion, bridging the AI divide requires a concerted effort from governments, businesses, and communities in the global majority. By fostering a digital ecosystem that caters to their unique needs, establishing regulations to mitigate AI-related harms, and providing opportunities for skill development, we can ensure that the benefits of AI are equitably distributed across the globe.

Can AI truly revolutionize the everyday lives of a substantial number of people worldwide in a beneficial manner?