How can we explore hidden biases in language models impacting fairness? Our #ACL2023 demo paper introduces Finspector, an interactive visualization widget available as a Python package for Jupyter, that helps uncover these biases.
Paper, Video, Code: https://www.bckwon.com/publication/finspector/
arXiv: https://arxiv.org/abs/2305.16937
GitHub: https://github.com/IBM/finspector
Our paper showcases a use case and discusses implications, limitations, and future work.
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models | Bum Chul Kwon, Ph.D. - IBM Research
I am Bum Chul Kwon ('BC'), a researcher of data visualization and visual analytics at the Healthcare Analytics Research Group in IBM Research. My research area includes visual analytics, data visualization, human-computer interaction, healthcare, and machine learning. My research goal is to enhance users' abilities to derive knowledge from various forms of data through development of interactive visual analytics systems. This website includes research publications, teaching materials, and working experiences of Bum Chul Kwon.