Ethics & SafetyLast updated: April 2026
AI Bias
When AI systems produce unfair results due to biased training data or design.
In Plain English
AI Bias occurs when AI systems produce systematically unfair results for certain groups of people. This usually stems from biased training data, but can also result from how the AI was designed or deployed. Biased AI can perpetuate or amplify existing societal inequities in areas like hiring, lending, healthcare, and criminal justice.
💡Real-World Example
A hiring AI trained mostly on data from male employees might unfairly rank female candidates lower.
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