Why Billions of People Are Being Excluded From AI's Benefits

Key Takeaways

AI’s effectiveness depends on large, reliable, representative data. But for billions of people, the data needed to build effective AI systems is incomplete, fragmented or skewed.

We must design AI systems that perform under conditions of scarcity. This can be done through synthetic data generation, adaptive learning and federated learning.

Bridging the data divide requires both technology and governance.

Artificial intelligence now powers much of the modern economy. It verifies our identities, assesses loans, detects fraud and helps doctors read scans. All of it depends on one input: data . Large, reliable, representative data. In many parts of the world, that foundation is thin or missing.

For billions of people, the data needed to build effective AI systems is incomp