Question

What do you understand by AI bias? Give 3 examples.​

Answer 1

Answer:

Machine learning bias, also sometimes called algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning process.

Answer 2

Answer:

Researchers have identified three categories of bias in AI: algorithmic prejudice, negative legacy, and underestimation. Algorithmic prejudice occurs when there is a statistical dependence between protected features and other information used to make a decision.