Fairness and Bias in Robot Learning

7 July 2022

Laura Londoño

Juana Valeria Hurtado

Abhinav Valada

Papers citing "Fairness and Bias in Robot Learning"

27 / 27 papers shown

Title
Learning Realistic Traffic Agents in Closed-loop Chris Zhang James Tu Lunjun Zhang Kelvin Wong Simon Suo R. Urtasun 60 21 0 02 Nov 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 60 23 0 10 May 2023
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals Thilo Hagendorff L. Bossert Yip Fai Tse P. Singer FaML 62 40 0 22 Feb 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 25 13 0 20 Oct 2021
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM Daniele Cattaneo Matteo Vaghi Abhinav Valada 3DPC 53 163 0 08 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 60 124 0 02 Mar 2021
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation Juana Valeria Hurtado Laura Londoño Abhinav Valada 53 29 0 07 Jan 2021
Deep Inverse Q-learning with Constraints Gabriel Kalweit M. Huegle M. Werling Joschka Boedecker BDL 44 33 0 04 Aug 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 67 75 0 29 Jun 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems Anthony Corso Robert J. Moss Mark Koren Ritchie Lee Mykel J. Kochenderfer 72 175 0 06 May 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 114 320 0 16 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,254 0 22 Oct 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 74 120 0 19 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 52 130 0 14 Jun 2019
Evaluating Fairness Metrics in the Presence of Dataset Bias J. Hinnefeld Peter Cooman Nat Mammo Rupert Deese FaML 31 36 0 24 Sep 2018
Adversarial Removal of Demographic Attributes from Text Data Yanai Elazar Yoav Goldberg FaML 86 308 0 20 Aug 2018
Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot Interaction Study Tobi Ogunyale DeÁira G. Bryant A. Howard 27 15 0 03 Jul 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 258 2,178 0 23 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,099 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 681 0 17 Feb 2018
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars M. Ramanagopal Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 52 104 0 30 Jun 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 115 589 0 10 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 297 2,109 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 217 4,305 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 114 1,768 0 19 Sep 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 63 1,899 0 28 Jun 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 191 1,984 0 11 Dec 2014