Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== Implicit bias in machine learning refers to the unintentional introduction of discriminatory or prejudiced behaviors, patterns, or outcomes in machine learning models, primarily due to the influence of biased training data or algorithmic design. These biases may manifest in the form of unfair treatment of certain demographic groups, perpetuation of stereotypes, or unequal allocation of resources. As machine learning sy..."
