“Reading for Gender Bias” is a web-based text analysis tool that scans and reveals language bias associated with evaluations and letters of recommendation written for trainees and applicants. It provides a summary of feedback to authors on how they can remove bias from their letters. A friend described it as “auto-correct for gender bias.” The goal is to start with a gender bias tool and then expand to other types of bias.
Check out the research that inspired this project here.
If you'd like to learn more, check out our GitHub repo.