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What is Bias?

A plain-English explanation of Bias (AI Bias) — what it means, why it matters, and how it is used in AI.

Bias
AI Bias
AI bias refers to systematic errors or unfair patterns in AI outputs that reflect prejudices, imbalances, or discrimination present in the training data or model design.
"A hiring algorithm trained on historical data from a company that predominantly hired men may learn to downrank female candidates."

Also known as: Algorithmic bias, model bias, data bias

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Why does Bias matter?

Understanding AI bias is essential for deploying AI responsibly in high-stakes domains affecting human welfare.

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