AI & Technology

What Is AI Bias?

AI bias occurs when an AI system produces results that are systematically unfair to certain people or groups, or systematically skewed in some direction. It usually comes from unrepresentative or historically biased training data, from how a problem is framed, or from how results are measured.

Common Causes

If some groups are under-represented in training data, a model may be less accurate for them. If past decisions in the data were biased, a model can learn and repeat those patterns.

How It Is Measured

Bias is often assessed by comparing error rates or outcomes across groups, for example checking whether approval or accuracy percentages differ significantly.

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Last updated: September 29, 2026. This definition is for general educational purposes only. It is not financial, investment, tax, legal, or medical advice, and it does not recommend any product or course of action. For decisions about your own situation, consult a qualified professional.