Removing Biases in Communication of Severity Assessments of Intimate Partner Violence : Model Development and Evaluation
Background: To support a victim of violence and establish the correct penalty for the perpetrator, it is crucial to correctly evaluate and communicate the severity of the violence. Recent data have shown these communications to be biased. However, computational language models provide opportunities for automated evaluation of the severity to mitigate the biases. Objective: We investigated whether
