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06/13/2023
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
Machine learning (ML) models that achieve high average accuracy can stil...
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02/09/2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Machine learning models with high accuracy on test data can still produc...
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01/06/2023
Improving Human-AI Collaboration With Descriptions of AI Behavior
People work with AI systems to improve their decision making, but often ...
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07/08/2022
Evaluating Systemic Error Detection Methods using Synthetic Images
We introduce SpotCheck, a framework for generating synthetic datasets to...
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04/22/2022
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains
This position paper offers a framework to think about how to better invo...
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02/18/2022
Symphony: Composing Interactive Interfaces for Machine Learning
Interfaces for machine learning (ML), information and visualizations abo...
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09/23/2021
Discovering and Validating AI Errors With Crowdsourced Failure Reports
AI systems can fail to learn important behaviors, leading to real-world ...
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04/10/2019