Sibyl: Understanding and Addressing the Usability Challenges of Machine
Learning In High-Stakes Decision Making

Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making

2 March 2021

Alexandra Zytek

R. Vaithianathan

K. Veeramachaneni

Papers citing "Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making"

10 / 10 papers shown

Title
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts Ashley Suh G. Appleby Erik W. Anderson Luca A. Finelli Remco Chang Dylan Cashman 75 8 0 11 May 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 61 109 0 05 Apr 2022
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 59 237 0 29 Jul 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 106 1,246 0 01 Jul 2019
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models Jiawei Zhang Yang Wang Piero Molino Lezhi Li D. Ebert FAtt 46 203 0 01 Aug 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 67 252 0 28 May 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 975 21,815 0 22 May 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Minsuk Kahng Pierre Yves Andrews Aditya Kalro Duen Horng Chau HAI 66 324 0 06 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 376 3,776 0 28 Feb 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 166 3,685 0 10 Jun 2016