AI in Everyday Contexts

What this section covers

Artificial intelligence is often discussed in abstract or global terms. This section brings the conversation back to context, examining where AI is actually being used (or proposed) in African settings, and where it falls short.

Rather than focusing on algorithms alone, we explore use cases, assumptions, and consequences: how AI interacts with local data, institutions, cultures, and resource constraints.

Key themes you’ll find here

• Practical AI applications in health, education, finance, and government
• Limits of imported AI solutions in African contexts
• Data dependency and bias in local deployments
• Ethical, social, and governance implications
• The gap between global AI narratives and African realities

The goal is clarity, not evangelism, understanding when AI helps, when it doesn’t, and why.