FairSight: Visual Analytics for Fairness in Decision Making

1 August 2019

Papers citing "FairSight: Visual Analytics for Fairness in Decision Making"

28 / 28 papers shown

Title
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Catherine Yeh Donghao Ren Yannick Assogba Dominik Moritz Fred Hohman 46 0 0 01 Oct 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 41 0 0 16 Jul 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 48 4 0 29 Apr 2024
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 32 14 0 07 Aug 2023
From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision Making E. Oral Ria Chawla Michel Wijkstra Narges Mahyar Evanthia Dimara 33 13 0 17 Jul 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks Rusheng Pan Zhiyong Wang Yating Wei Han Gao Gongchang Ou Caleb Chen Cao Jinglin Xu Tong Xu Wei Chen GNN 23 4 0 21 Dec 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups Bum Chul Kwon U. Kartoun S. Khurshid Mikhail Yurochkin Subha Maity Deanna G. Brockman A. Khera P. Ellinor S. Lubitz Kenney Ng 30 11 0 14 Sep 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 33 40 0 10 Aug 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 26 2 0 15 Jul 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 20 29 0 01 Jun 2022
A Design Space for Explainable Ranking and Ranking Models I. A. Hazwani J. Schmid M. Sachdeva J. Bernard XAI 34 3 0 27 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 29 34 0 22 Apr 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 0 01 Oct 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis Xingbo Wang Jianben He Zhihua Jin Muqiao Yang Yong Wang Huamin Qu 24 75 0 17 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 33 74 0 01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 59 95 0 01 Jul 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings Bhavya Ghai Md. Naimul Hoque Klaus Mueller 34 26 0 05 Mar 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 22 25 0 15 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 26 216 0 21 Aug 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 46 192 0 12 Aug 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 15 17 0 05 May 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law Sana Malik F. Du Moumita Sinha 29 12 0 13 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 62 195 0 06 Apr 2017