Visual representation generation for bias correction

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• determine, using a machine learning model and based on interaction data, an interaction profile for a provider,
• wherein the interaction data includes demographic information of users involved in interactions with the provider, and
• wherein the interaction profile provides a binary indication of bias of the provider toward one or more categories of users;
• generate an image that depicts at least a face of a person,
• wherein one or more characteristics associated with the one or more categories of users are absent from the face of the person;
• and
• cause presentation of the image on the device during a communication session with a user.

A method, comprising:

• determining, by a device using a machine learning model and based on interaction data, an interaction profile for a provider,
• wherein the interaction data includes demographic information of users involved in interactions with the provider, and
• wherein the interaction profile provides an indication of bias of the provider toward one or more categories of users;
• generating, by the device, a visual representation that depicts at least a face of a person,
• wherein one or more characteristics associated with the one or more categories of users are absent from the face of the person;
• and
• causing, by the device, presentation of the visual representation on the device during a communication session with a user.