activity
20192023
most citedRECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization

31 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023

A Declarative Specification for Authoring Metrics Dashboards

Will Epperson, Kanit Wongsuphasawat, Allison Whilden +2

Despite their ubiquity, authoring dashboards for metrics reporting in modern data analysis tools remains a manual, time-consuming process. Rather than focusing on interesting combi…

cs.HC2023★ 3 cited

Dead or Alive: Continuous Data Profiling for Interactive Data Science

Will Epperson, Vaishnavi Gorantla, Dominik Moritz +1

Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts…

cs.HC2021★ 31 cited

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization

Austin P Wright, Omar Shaikh, Haekyu Park +5

With the widespread use of toxic language online, platforms are increasingly using automated systems that leverage advances in natural language processing to automatically flag and…

cs.CL2020★ 3 cited

RECAST: Interactive Auditing of Automatic Toxicity Detection Models

Austin P. Wright, Omar Shaikh, Haekyu Park +5

As toxic language becomes nearly pervasive online, there has been increasing interest in leveraging the advancements in natural language processing (NLP), from very large transform…

cs.LG2019★ 15 cited

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman +3

The growing capability and accessibility of machine learning has led to its application to many real-world domains and data about people. Despite the benefits algorithmic systems m…