Search Results for author:
Found 1 papers, 0 papers with code
Intersectionality and Testimonial Injustice in Medical Records
To illustrate this, we use real-world medical data to determine whether medical records exhibit words that could lead to testimonial injustice, employ fairness metrics (e. g. demographic parity, differential intersectional fairness, and subgroup fairness) to assess the severity to which subgroups are experiencing testimonial injustice, and analyze how the intersectionality of demographic features (e. g. gender and race) make a difference in uncovering testimonial injustice.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
