What is algorithmic bias?

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

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

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

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

I don't know this yet.