Multi-disciplinary fairness considerations in machine learning for clinical trials

18 May 2022

Papers citing "Multi-disciplinary fairness considerations in machine learning for clinical trials"

6 / 6 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 41 0 0 16 Jul 2024
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 30 5 0 04 Mar 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 332 4,223 0 23 Aug 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 192 743 0 13 Dec 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016