Joint Optimization of AI Fairness and Utility: A Human-Centered Approach

5 February 2020

Papers citing "Joint Optimization of AI Fairness and Utility: A Human-Centered Approach"

14 / 14 papers shown

Title
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 38 0 0 16 Jul 2024
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice Fernando Delgado Stephen Yang Michael A. Madaio Qian Yang 71 100 0 02 Oct 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 25 34 0 13 Feb 2023
Metric Elicitation; Moving from Theory to Practice Safinah Ali Sohini Upadhyay G. Hiranandani Elena L. Glassman Oluwasanmi Koyejo 16 3 0 07 Dec 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 25 7 0 22 Jul 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 18 50 0 21 Jul 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 15 34 0 22 Apr 2022
Visual Identification of Problematic Bias in Large Label Spaces Alex Bauerle Aybuke Turker Ken Burke Osman Aka Timo Ropinski Christina Greer Mani Varadarajan 12 1 0 17 Jan 2022
Towards Fairness in Classifying Medical Conversations into SOAP Sections Elisa Ferracane Sandeep Konam FaML 13 4 0 02 Dec 2020
Quadratic Metric Elicitation for Fairness and Beyond G. Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 19 5 0 03 Nov 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 26 18 0 23 Jun 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML CVBM 19 74 0 22 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez 19 55 0 15 Apr 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016