Fairness and Bias in Robot Learning

Fairness and Bias in Robot Learning

7 July 2022

Juana Valeria Hurtado

Abhinav Valada

Papers citing "Fairness and Bias in Robot Learning"

6 / 6 papers shown

Title
Learning Realistic Traffic Agents in Closed-loop Chris Zhang James Tu Lunjun Zhang Kelvin Wong Simon Suo R. Urtasun 31 18 0 02 Nov 2023
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs Sandra Carrasco Limeros Sylwia Majchrowska Joakim Johnander Christoffer Petersson Miguel Ángel Sotelo David Fernández Llorca 38 11 0 28 Oct 2022
Providing a Philosophical Critique and Guidance of Fairness Metrics Henry Cerbone FaML 82 1 0 17 Oct 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 673 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016