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08/08/2023
Dead or Alive: Continuous Data Profiling for Interactive Data Science
Profiling data by plotting distributions and analyzing summary statistic...
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07/25/2023
The Impact of Imperfect XAI on Human-AI Decision-Making
Explainability techniques are rapidly being developed to improve human-A...
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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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01/31/2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care
Artificial intelligence (AI) in healthcare has the potential to improve ...
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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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09/30/2022
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning
Deep learning methods, in particular convolutional neural networks, have...
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04/29/2022
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
This is an extended analysis of our paper "How Child Welfare Workers Red...
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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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04/05/2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
AI-based decision support tools (ADS) are increasingly used to augment h...
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02/05/2022
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces
Modern machine learning techniques commonly rely on complex, high-dimens...
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11/04/2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Explainable AI (XAI) is a promising means of supporting human-AI collabo...
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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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03/19/2021
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
Embeddings of words and concepts capture syntactic and semantic regulari...
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07/30/2019
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Deep learning models require the configuration of many layers and parame...
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04/25/2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Neural Sequence-to-Sequence models have proven to be accurate and robust...
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06/17/2016