activity
20222024
most citedZeno: An Interactive Framework for Behavioral Evaluation of Machine Learning

52 citations · 98 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.HC202431 cited

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit

Nur Yildirim, Susanna Zlotnikov, Deniz Sayar +14

Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet innovation teams struggle when envisioning AI concepts. Data science teams think of innovation…

cs.HC20233 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.HC202352 cited

Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning

Ángel Alexander Cabrera, Erica Fu, Donald Bertucci +4

Machine learning models with high accuracy on test data can still produce systematic failures, such as harmful biases and safety issues, when deployed in the real world. To detect…

cs.HC202310 cited

Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin +2

Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but clinician acceptance remains a critical barrier. We developed a novel decision support…

cs.HC20222 cited

Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"

Logan Stapleton, Hao-Fei Cheng, Anna Kawakami +7

This is an extended analysis of our paper "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions," which looks at racial disparities in the Allegheny Family…