Comment by Shaina Raza

What drove us to build this was simple: the people most harmed by biased language are often the last to know it’s there. A patient doesn’t see the assumptions buried in their clinical notes. A job candidate doesn’t know why a door keeps closing. We wanted to make the invisible visible – a free tool that surfaces bias, explains it and helps fix it. However, bias doesn’t just live in a document someone writes today. It lives in the data used to train AI models and, when it goes undetected there, it gets learned, replicated, and deployed at scale across entire organizations. UnBias-Plus gives developers and data scientists the ability to find and clean that bias before it becomes part of the model.