Which of the following best describes algorithmic bias?

Group of answer choices

The process by which algorithms are optimized to perform better on benchmark tests, without regard to real$-$world applicability.

The legal framework established to ensure that all algorithms treat data from different groups equally, without any form of discrimination.

The intentional design of algorithms to favor specific outcomes over others, regardless of the input data.

all of the answers are correct

A phenomenon where algorithms produce results that are systematically prejudiced due to erroneous assumptions in the machine learning process.