Bias amplification refers to a notion of bias that is often thought of as just a correlation in the data. This correlation could be between some particular demographic group and some concept that they are stereotypically related to. Because machine learning models are trying to pick up on any patterns that are available in the data to learn, they frequently amplify these biases and will overpredict them whenever they are deployed.
On April 4th, 2022. See this statement in context.