Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds

26 April 2020

Papers citing "Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds"

11 / 11 papers shown

Title
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Yinong Oliver Wang N. Sivakumar Falaah Arif Khan Rin Metcalf Susa Adam Goliñski Natalie Mackraz B. Theobald Luca Zappella N. Apostoloff 28 0 0 29 May 2025
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 103 39 0 05 Jun 2023
Evaluation for Change Rishi Bommasani ELM 59 0 0 20 Dec 2022
Undesirable Biases in NLP: Addressing Challenges of Measurement Oskar van der Wal Dominik Bachmann Alina Leidinger L. Maanen Willem H. Zuidema K. Schulz 84 7 0 24 Nov 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 103 28 0 26 May 2022
Theories of "Gender" in NLP Bias Research Hannah Devinney Jenny Björklund H. Björklund AI4CE 106 76 0 05 May 2022
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management Cécile Logé Emily L. Ross D. Dadey Saahil Jain A. Saporta A. Ng Pranav Rajpurkar 144 23 0 03 Aug 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
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 129 252 0 15 Nov 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 90 52 0 29 Sep 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 159 1,257 0 28 May 2020