What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

10 April 2019

Alexandra Chouldechova

Adam Tauman Kalai

Papers citing "What's in a Name? Reducing Bias in Bios without Access to Protected Attributes"

22 / 22 papers shown

Title
Reducing Sensitivity on Speaker Names for Text Generation from Dialogues Qi Jia Haifeng Tang Kenny Q. Zhu 24 2 0 23 May 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection Shadi Iskander Kira Radinsky Yonatan Belinkov 38 17 0 17 May 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 34 0 13 Feb 2023
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection P. Haghighatkhah Antske Fokkens Pia Sommerauer Bettina Speckmann Kevin Verbeek 32 10 0 08 Dec 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 22 7 0 05 May 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters Hadas Orgad Seraphina Goldfarb-Tarrant Yonatan Belinkov 26 18 0 14 Apr 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models Masashi Takeshita Rafal Rzepka K. Araki 31 6 0 10 Mar 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning Yasaman Razeghi Robert L Logan IV Matt Gardner Sameer Singh ReLM LRM 32 150 0 15 Feb 2022
Learning Fair Representations via Rate-Distortion Maximization Somnath Basu Roy Chowdhury Snigdha Chaturvedi FaML 6 14 0 31 Jan 2022
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 223 378 0 15 Oct 2021
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 42 122 0 21 Jun 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 24 60 0 28 Apr 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 44 95 0 02 Mar 2021
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 37 7 0 19 Nov 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 27 126 0 30 Oct 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 26 96 0 19 Jun 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 23 369 0 16 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez 30 56 0 15 Apr 2020
Towards Understanding Gender Bias in Relation Extraction Andrew Gaut Tony Sun Shirlyn Tang Yuxin Huang Jing Qian ... Jieyu Zhao Diba Mirza E. Belding Kai-Wei Chang William Yang Wang FaML 33 40 0 09 Nov 2019
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 31 141 0 30 Oct 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 192 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016