Abstract: Systems and methods for identifying and removing bias from communications are disclosed. In one embodiment, a method for identifying bias may include: (1) receiving, by a bias identification computer program executed by an electronic device and from a user electronic device, text comprising a plurality of passages; (2) converting, by the bias identification computer program, each of the plurality of passages into a vector; (3) determining, by the bias identification computer program, that a custom entity in a bias category is present in one of the plurality of vectors or in a preceding or subsequent vector using a trained bias identification machine learning engine; and (4) returning, by the bias identification computer program and to the user electronic device, an indication that the one of the plurality of vectors is biased.