Fairness in representation: quantifying stereotyping as a
representational harm

Fairness in representation: quantifying stereotyping as a representational harm

28 January 2019

Sorelle A. Friedler

Suresh Venkatasubramanian

ArXiv (abs)PDF HTML

Papers citing "Fairness in representation: quantifying stereotyping as a representational harm"

15 / 15 papers shown

Title
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) Anna Neumann Elisabeth Kirsten Muhammad Bilal Zafar Jatinder Singh 59 0 0 27 May 2025
Muslim-Violence Bias Persists in Debiased GPT Models Babak Hemmatian Razan Baltaji Lav Varshney 36 3 0 25 Oct 2023
Gender Stereotyping Impact in Facial Expression Recognition Iris Dominguez-Catena D. Paternain M. Galar 45 7 0 11 Oct 2022
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina Mohsen Abbasi Suresh Venkatasubramanian Sorelle A. Friedler K. Lum Calvin Barrett 57 4 0 30 May 2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 147 39 0 12 Mar 2022
Explainability for identification of vulnerable groups in machine learning models Inga Strümke Marija Slavkovik FaML 60 3 0 01 Mar 2022
Feature-based Individual Fairness in k-Clustering Debajyoti Kar Mert Kosan Debmalya Mandal Sourav Medya A. Silva P. Dey Swagato Sanyal FaML 97 10 0 09 Sep 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 89 295 0 29 Jun 2021
Obstructing Classification via Projection P. Haghighatkhah Wouter Meulemans Bettina Speckmann Jérôme Urhausen Kevin Verbeek 49 6 0 19 May 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Neal Patwari Suresh Venkatasubramanian 123 8 0 24 Apr 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 85 89 0 03 Feb 2021
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It Danielle Saunders Rosie Sallis Bill Byrne 78 64 0 11 Oct 2020
UnQovering Stereotyping Biases via Underspecified Questions Tao Li Tushar Khot Daniel Khashabi Ashish Sabharwal Vivek Srikumar 79 138 0 06 Oct 2020
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings Sunipa Dev Tao Li J. M. Phillips Vivek Srikumar 114 55 0 30 Jun 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 94 87 0 19 Jun 2020