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

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

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
5 February 2020
Yunfeng Zhang
Rachel K. E. Bellamy
Kush R. Varshney
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
Aoun E Muhammad
Kin-Choong Yow
Jamel Baili
Yongwon Cho
Yunyoung Nam
144
2
0
24 Aug 2025
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
410
6
0
16 Jul 2024
The Participatory Turn in AI Design: Theoretical Foundations and the
  Current State of Practice
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of PracticeConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
340
196
0
02 Oct 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentSN Computer Science (SN Comput. Sci.), 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
272
56
0
13 Feb 2023
Metric Elicitation; Moving from Theory to Practice
Metric Elicitation; Moving from Theory to Practice
Safinah Ali
Sohini Upadhyay
Gaurush Hiranandani
Elena L. Glassman
Oluwasanmi Koyejo
177
4
0
07 Dec 2022
Towards Fairness-Aware Multi-Objective Optimization
Towards Fairness-Aware Multi-Objective Optimization
Guo-Ding Yu
Lianbo Ma
W. Du
WenLi Du
Yaochu Jin
FaML
192
19
0
22 Jul 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing
Detecting Shortcut Learning for Fair Medical AI using Shortcut TestingNature Communications (Nat Commun), 2022
Alex Brown
Nenad Tomašev
Jan Freyberg
Yuan Liu
Alan Karthikesalingam
Jessica Schrouff
269
87
0
21 Jul 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao
Simone Stumpf
Subeida Ahmed
A. Naseer
Lorenzo Strappelli
136
33
0
22 Apr 2022
Visual Identification of Problematic Bias in Large Label Spaces
Visual Identification of Problematic Bias in Large Label Spaces
Alex Bauerle
Aybuke Turker
Ken Burke
Osman Aka
Timo Ropinski
Christina Greer
Mani Varadarajan
165
2
0
17 Jan 2022
Towards Fairness in Classifying Medical Conversations into SOAP Sections
Towards Fairness in Classifying Medical Conversations into SOAP Sections
Elisa Ferracane
Sandeep Konam
FaML
96
6
0
02 Dec 2020
Quadratic Metric Elicitation for Fairness and Beyond
Quadratic Metric Elicitation for Fairness and Beyond
Gaurush Hiranandani
Jatin Mathur
Harikrishna Narasimhan
Oluwasanmi Koyejo
386
5
0
03 Nov 2020
Fair Performance Metric Elicitation
Fair Performance Metric ElicitationNeural Information Processing Systems (NeurIPS), 2020
Gaurush Hiranandani
Harikrishna Narasimhan
Oluwasanmi Koyejo
243
19
0
23 Jun 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
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
FaMLCVBM
250
94
0
22 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
221
65
0
15 Apr 2020
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