Researchers at the University of Maryland's Human-Computer Interaction Lab have developed DramatVis Personae (DVP), a web-based AI tool designed to help writers identify and address stereotypes in their creative works. DVP analyzes characters in a narrative by tracking mentions and actions, allowing authors to assign demographic information such as age, ethnicity, and gender. The tool visualizes the representation of these social identities throughout the story, enabling writers to detect and mitigate unconscious biases. User studies have shown that writers can more efficiently identify biases using DVP compared to traditional text editors, all while maintaining full control over their creative process.