Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

21 June 2019

Papers citing "Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices"

50 / 138 papers shown

Title
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 33 3 0 18 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 42 1 0 28 Jul 2023
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation Zhewei Liu Lipai Huang Chao Fan Ali Mostafavi HAI 19 2 0 20 Jul 2023
National Origin Discrimination in Deep-learning-powered Automated Resume Screening Sihang Li Kuangzheng Li Haibing Lu 27 3 0 13 Jul 2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems Furkan Gursoy I. Kakadiaris 25 4 0 02 Jul 2023
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions Niclas Boehmer L. E. Celis Lingxiao Huang Anay Mehrotra Nisheeth K. Vishnoi 23 2 0 16 Jun 2023
Interpolating Item and User Fairness in Multi-Sided Recommendations Qinyi Chen Jason Cheuk Nam Liang Negin Golrezaei Djallel Bouneffouf FaML 40 3 0 12 Jun 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 25 5 0 31 May 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 29 9 0 30 May 2023
Examining risks of racial biases in NLP tools for child protective services Anjalie Field Amanda Coston Nupoor Gandhi Alexandra Chouldechova Emily Putnam-Hornstein David Steier Yulia Tsvetkov 52 13 0 30 May 2023
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain Mike Zhang Rob van der Goot Barbara Plank 26 14 0 20 May 2023
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 35 6 0 15 May 2023
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews Brandon M. Booth Louis Hickman Shree Krishna Subburaj Louis Tay S. E. Woo S. D’Mello FaML 40 19 0 04 May 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling M. Scutari FaML 40 5 0 03 May 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement Xuan Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Shiwei Wang 18 2 0 09 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 36 248 0 07 Apr 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 40 3 0 06 Apr 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 35 0 13 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 21 20 0 12 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 36 21 0 02 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 22 2 0 31 Jan 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Xia Hu 35 4 0 31 Jan 2023
"Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools M. Lashkari Jinghui Cheng 12 6 0 27 Jan 2023
Meta-Learning Mini-Batch Risk Functionals Jacob Tyo Zachary Chase Lipton 22 0 0 27 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 36 15 0 27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 38 1 0 25 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 39 92 0 20 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 46 37 0 19 Oct 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games Benjamin Fish Luke Stark FaML 40 8 0 12 Sep 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 24 4 0 13 Aug 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 9 4 0 27 Jul 2022
Mimetic Models: Ethical Implications of AI that Acts Like You Reid McIlroy-Young Jon M. Kleinberg S. Sen Solon Barocas Ashton Anderson 18 16 0 19 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Junfeng Fang Yang Liu TDI FaML 28 33 0 30 Jun 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 34 180 0 20 Jun 2022
The Algorithmic Imprint Upol Ehsan Ranjit Singh Jacob Metcalf Mark O. Riedl FaML 39 32 0 03 Jun 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 45 28 0 26 May 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 24 70 0 19 May 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 36 15 0 12 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 31 29 0 09 May 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 43 9 0 22 Apr 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 30 50 0 18 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 31 3 0 13 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 34 37 0 06 Apr 2022
The price of unfairness in linear bandits with biased feedback Solenne Gaucher Alexandra Carpentier Christophe Giraud FaML 13 2 0 18 Mar 2022
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR Nina Markl S. McNulty 24 9 0 25 Feb 2022
Investigations of Performance and Bias in Human-AI Teamwork in Hiring Andi Peng Besmira Nushi Emre Kıcıman K. Inkpen Ece Kamar 14 29 0 21 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 40 18 0 02 Feb 2022
An External Stability Audit Framework to Test the Validity of Personality Prediction in AI Hiring Alene K. Rhea K. Markey L. D’Arinzo Hilke Schellmann Mona Sloane Paul Squires Falaah Arif Khan Julia Stoyanovich MLAU 30 19 0 23 Jan 2022