Biased data in. Biased decisions out.
AI learns from the past, including its unfairness. Unless you check, it will repeat those patterns quietly and at scale.
Where it comes from
The Source
Historical decisions, who is missing from the data, and proxies like postcode or school.
How it shows up
The Symptoms
Different outcomes for different groups, stereotypes in text and images, weaker accuracy for some accents.
Why it matters here
The Stakes
South African law prohibits unfair discrimination, and customers notice fast.
Sources: Reuters via Euronews ↗ · South African Government ↗
Assume bias. Then test for it.