B
Bias
Bias in AI happens when the data it learns from is already tilted, often reflecting human history, habits, and blind spots. If an AI is trained on narrow or one‑sided examples, it will assume that is the only “right” way, leading to uneven or unfair results. The AI is not choosing to be biased — it is simply mirroring the world as it is, patterns and all. Without intervention, those patterns can reinforce the very problems we hope technology will solve. In short, AI is a mirror, and bias is the smudge that distorts the reflection unless we actively clean it.