Visual Analysis of Discrimination in Machine Learning

Visual Analysis of Discrimination in Machine Learning

30 July 2020

Huamin Qu

Papers citing "Visual Analysis of Discrimination in Machine Learning"

7 / 7 papers shown

Title
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
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 41 0 0 12 Apr 2023
Preventing Discriminatory Decision-making in Evolving Data Streams Zichong Wang N. Saxena Tongjia Yu Sneha Karki Tyler Zetty ... Shanlin Zhou Dukka B Kc I. Stockwell Albert Bifet Wenbin Zhang FaML 33 19 0 16 Feb 2023
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
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 32 7 0 20 Aug 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
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