Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

21 June 2019

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

38 / 138 papers shown

Title
A Non-Expert's Introduction to Data Ethics for Mathematicians M. A. Porter FaML 27 3 0 18 Jan 2022
Degendering Resumes for Fair Algorithmic Resume Screening Prasanna Parasurama João Sedoc FaML 22 3 0 16 Dec 2021
Correlation inference attacks against machine learning models Ana-Maria Creţu Florent Guépin Yves-Alexandre de Montjoye MIACV AAML 43 5 0 16 Dec 2021
Bayesian Persuasion for Algorithmic Recourse Keegan Harris Valerie Chen Joon Sik Kim Ameet Talwalkar Hoda Heidari Zhiwei Steven Wu 40 13 0 12 Dec 2021
On Fair Selection in the Presence of Implicit and Differential Variance V. Emelianov Nicolas Gast Krishna P. Gummadi P. Loiseau 32 21 0 10 Dec 2021
Qualitative Analysis for Human Centered AI Orestis Papakyriakopoulos E. A. Watkins Amy A. Winecoff Klaudia Ja'zwiñska Tithi Chattopadhyay 41 8 0 07 Dec 2021
Words of Wisdom: Representational Harms in Learning From AI Communication Amanda Buddemeyer Erin Walker Malihe Alikhani 12 7 0 16 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 37 36 0 04 Nov 2021
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset Necdet Gurkan Jordan W. Suchow CVBM 23 3 0 01 Nov 2021
On the Fairness of Machine-Assisted Human Decisions Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 29 16 0 28 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 30 29 0 26 Oct 2021
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews Léo Hemamou Arthur Guillon Jean-Claude Martin Chloé Clavel CVBM AAML 24 3 0 18 Oct 2021
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies Riccardo Fogliato Alexandra Chouldechova Zachary Chase Lipton 26 31 0 03 Sep 2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms Myra Cheng Maria De-Arteaga Lester W. Mackey Adam Tauman Kalai FaML 35 7 0 25 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 40 2 0 11 Aug 2021
A Causal Perspective on Meaningful and Robust Algorithmic Recourse Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup 48 16 0 16 Jul 2021
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities? Reuben Binns Reuben Kirkham 29 14 0 12 Jul 2021
Building Bridges: Generative Artworks to Explore AI Ethics Ramya Srinivasan Devi Parikh 11 8 0 25 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 13 20 0 13 Jun 2021
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 22 27 0 18 May 2021
Achieving Fairness with a Simple Ridge Penalty M. Scutari F. Panero M. Proissl FaML 19 13 0 18 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 44 17 0 13 May 2021
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems Ali Hamdi Khaled Shaban A. Erradi Amr Mohamed Shakila Khan Rumi Flora D. Salim AI4TS 34 99 0 31 Mar 2021
Algorithmic Challenges in Ensuring Fairness at the Time of Decision Jad Salem Swati Gupta Vijay Kamble FaML 21 4 0 16 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 19 27 0 10 Mar 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 42 2 0 04 Jan 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 38 82 0 02 Jan 2021
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 33 18 0 17 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 32 142 0 14 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 46 85 0 05 Dec 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 32 126 0 30 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 35 156 0 28 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 37 616 0 04 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 22 63 0 31 Mar 2020
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems Javier Sánchez-Monedero L. Dencik L. Edwards 19 131 0 28 Sep 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016