Question $3$ of $15$

What is algorithmic bias?

when a machine learning $($ML$)$ model needs human input

when a machine learning $($ML$)$ model is $100\%$ accurate

when a machine learning $($ML$)$ model improves its computational algorithms

when a machine learning $($ML$)$ model reinforces a disparity in the existing data

I don't know this yet.

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