Measurement and Fairness

11 December 2019

Papers citing "Measurement and Fairness"

50 / 55 papers shown

Title
A Typology of Synthetic Datasets for Dialogue Processing in Clinical Contexts Steven Bedrick A. Seza Doğruöz Sergiu Nisioi 107 0 0 05 May 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 95 0 0 05 Apr 2025
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction Lu Dai Yijie Xu Jinhui Ye Hao Liu Hui Xiong 3DV RALM 76 2 0 03 Mar 2025
Linear Representations of Political Perspective Emerge in Large Language Models Junsol Kim James Evans Aaron Schein 75 2 0 03 Mar 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 59 0 0 25 Feb 2025
Exposing Assumptions in AI Benchmarks through Cognitive Modelling Jonathan H. Rystrøm Kenneth C. Enevoldsen 32 0 0 25 Sep 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 32 3 0 27 May 2024
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment Nari Johnson Sanika Moharana Christina Harrington Nazanin Andalibi Hoda Heidari Motahhare Eslami 26 7 0 21 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 32 0 0 19 Apr 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 56 0 0 13 Mar 2024
Machine Learning practices and infrastructures G. Berman 15 3 0 13 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 21 0 0 11 Jul 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation Rahul Madhavan Rishabh Garg Kahini Wadhawan S. Mehta 15 5 0 01 Jun 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 21 4 0 27 May 2023
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation Jacob Thebault-Spieker Sukrit Venkatagiri Naomi Mine Kurt Luther 20 3 0 23 May 2023
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models Seraphina Goldfarb-Tarrant Eddie L. Ungless Esma Balkir Su Lin Blodgett 27 9 0 22 May 2023
PaLM 2 Technical Report Rohan Anil Andrew M. Dai Orhan Firat Melvin Johnson Dmitry Lepikhin ... Ce Zheng Wei Zhou Denny Zhou Slav Petrov Yonghui Wu ReLM LRM 62 1,138 0 17 May 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 6 3 0 11 May 2023
The Role of Relevance in Fair Ranking Aparna Balagopalan Abigail Z. Jacobs Asia J. Biega 25 7 0 09 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 15 21 0 05 May 2023
Fairlearn: Assessing and Improving Fairness of AI Systems Hilde Weerts Miroslav Dudík Richard Edgar Adrin Jalali Roman Lutz Michael Madaio FaML 11 62 0 29 Mar 2023
Capabilities of GPT-4 on Medical Challenge Problems Harsha Nori Nicholas King S. McKinney Dean Carignan Eric Horvitz LM&MA ELM AI4MH 39 765 0 20 Mar 2023
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? Shreyans Chowdhary Anna Kawakami Mary L. Gray J. Suh Alexandra Olteanu Koustuv Saha 36 30 0 13 Mar 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 31 194 0 16 Feb 2023
Trustworthy Social Bias Measurement Rishi Bommasani Percy Liang 27 10 0 20 Dec 2022
Evaluation for Change Rishi Bommasani ELM 35 0 0 20 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 19 2 0 14 Dec 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 37 269 0 09 Nov 2022
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter Kyra Yee Alice Schoenauer Sebag Olivia Redfield Emily Sheng Matthias Eck Luca Belli 15 1 0 07 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Angelie Kraft Ricardo Usbeck KELM 18 9 0 07 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 25 18 0 27 Sep 2022
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education Lydia T. Liu Serena Wang Tolani A. Britton Rediet Abebe AI4Ed 11 1 0 08 Sep 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks Borhane Blili-Hamelin Leif Hancox-Li 27 16 0 01 Sep 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 15 179 0 20 Jun 2022
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications Kaitlyn Zhou Su Lin Blodgett Adam Trischler Hal Daumé Kaheer Suleman Alexandra Olteanu ELM 94 26 0 13 May 2022
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms Terrence Neumann Maria De-Arteaga S. Fazelpour 19 22 0 28 Apr 2022
Modular Domain Adaptation Junshen K. Chen Dallas Card Dan Jurafsky 17 1 0 26 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 13 3 0 18 Apr 2022
Deploying clinical machine learning? Consider the following... Charles Lu Kenglun Chang Praveer Singh S. Pomerantz S. Doyle Sujay S Kakarmath Christopher P. Bridge Jayashree Kalpathy-Cramer 41 4 0 14 Sep 2021
Assessing the Reliability of Word Embedding Gender Bias Measures Yupei Du Qixiang Fang D. Nguyen 46 21 0 10 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 19 12 0 09 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 97 93 0 06 Aug 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 121 121 0 16 Jul 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 9 38 0 09 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 26 13 0 01 Jul 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 16 134 0 16 Jun 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications Jessica Zosa Forde A. Feder Cooper Kweku Kwegyir-Aggrey Chris De Sa Michael Littman 11 22 0 01 Apr 2021
"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 11 126 0 30 Oct 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 14 118 0 21 Feb 2020