AI Glossary
Bias
Systematic distortion in AI results, often caused by one-sided training data.
Definition
Bias refers to systematic errors in AI results that arise when training data or models favor or disadvantage certain groups or perspectives. For example, a hiring filter trained on historical data might disadvantage women because more men were hired in the past. Bias mitigation includes diverse data, audits, and fair training methods.
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Sources: a16z AI Glossary · CNET AI Terms Glossary