Aequitas: A Bias and Fairness Audit Toolkit

14 November 2018

Kit T. Rodolfa

Papers citing "Aequitas: A Bias and Fairness Audit Toolkit"

50 / 146 papers shown

Title
SHAP-based Explanations are Sensitive to Feature Representation Hyunseung Hwang Andrew Bell Joao Fonseca Venetia Pliatsika Julia Stoyanovich Steven Euijong Whang TDI FAtt 37 0 0 13 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Wenjie Qu FaML 58 0 0 12 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness Tina Behzad Mithilesh Singh Anthony J. Ripa Klaus Mueller 27 0 0 22 Apr 2025
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning Florian Rupp Manuel Eberhardinger Kai Eckert 58 2 0 24 Mar 2025
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation Sami Zhioua Ruta Binkyt.e Ayoub Ouni Farah Barika Ktata 46 0 0 23 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 61 0 0 27 Feb 2025
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models Di Jin Xing Liu Yu Liu Jia Qing Yap Andrea Wong Adriana Crespo Qi Lin Zhiyuan Yin Qiang Yan Ryan Ye EGVM VLM 233 0 0 10 Jan 2025
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Dylan Bouchard Mohit Singh Chauhan David Skarbrevik Viren Bajaj Zeya Ahmad 43 0 0 06 Jan 2025
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sotiris Pelekis Evangelos Karakolis G. Lampropoulos S. Mouzakitis Ourania Markaki Christos Ntanos D. Askounis 77 1 0 25 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 36 3 0 15 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 75 0 0 10 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI Hangzhi Guo Pranav Narayanan Venkit Eunchae Jang Mukund Srinath Wenbo Zhang Bonam Mingole Vipul Gupta Kush R. Varshney S. Shyam Sundar A. Yadav 54 3 0 20 Oct 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 27 0 0 26 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 36 3 0 25 Sep 2024
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness Olive Franzese Ali Shahin Shamsabadi Hamed Haddadi 28 3 0 17 Sep 2024
The 20 questions game to distinguish large language models Gurvan Richardeau Erwan Le Merrer C. Penzo Gilles Tredan 42 2 0 16 Sep 2024
Detecting Interpretable Subgroup Drifts Flavio Giobergia Eliana Pastor Luca de Alfaro Elena Baralis 21 0 0 26 Aug 2024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors Xueying Ding Rui Xi Leman Akoglu FaML 23 0 0 24 Aug 2024
Fairness in Large Language Models in Three Hours Thang Doan Viet Zichong Wang Minh Nhat Nguyen Wenbin Zhang 51 8 0 02 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Zichong Wang Zhipeng Yin Nhat Hoang Matthew Gonzalez Tai Le Quy Wenbin Zhang 34 20 0 26 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 41 0 0 16 Jul 2024
Auditing of AI: Legal, Ethical and Technical Approaches Jakob Mokander 54 38 0 07 Jul 2024
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems Jakob Mokander Margi Sheth David S. Watson Luciano Floridi 35 6 0 07 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis Farnaz Kohankhaki Shaina Raza Oluwanifemi Bamgbose D. Pandya Elham Dolatabadi CML 48 0 0 02 Jul 2024
FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software Normen Yu Luciana Carreon Gang Tan Saeid Tizpaz-Niari 39 2 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 63 3 0 30 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 28 0 0 27 Jun 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness Kacy Zhou Jiawen Wen Nan Yang Dong Yuan Qinghua Lu Huaming Chen 22 1 0 25 Jun 2024
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability Md Fahim Sikder R. Ramachandranpillai Daniel de Leng Fredrik Heintz 41 3 0 20 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 67 4 0 04 Jun 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 38 3 0 29 May 2024
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems Djalel Benbouzid Christiane Plociennik Laura Lucaj Mihai Maftei Iris Merget A. Burchardt Marc P. Hauer Abdeldjallil Naceri Patrick van der Smagt MLAU 33 0 0 21 May 2024
Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus Pedro Saleiro Ines Oliveira e Silva Beatriz M. Jorge Rita P. Ribeiro João Gama P. Bizarro Rayid Ghani 27 2 0 09 May 2024
Identifying Fairness Issues in Automatically Generated Testing Content Kevin Stowe Benny Longwill Alyssa Francis Tatsuya Aoyama Debanjan Ghosh Swapna Somasundaran 46 1 0 23 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 49 1 0 12 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 48 33 0 31 Mar 2024
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions Zainab Al-zanbouri Gauri Sharma Shaina Raza 46 0 0 27 Mar 2024
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector Mirthe Dankloff Vanja Skoric Giovanni Sileno S. Ghebreab Jacco van Ossenbruggen Emma Beauxis-Aussalet 19 2 0 20 Mar 2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition Dalia Gala Milo Phillips-Brown Naman Goel Carinal Prunkl L. A. Jubete Medb Corcoran Ray Eitel-Porter 23 0 0 09 Mar 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 45 44 0 23 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 31 0 0 14 Feb 2024
Fairness Auditing with Multi-Agent Collaboration M. Vos Akash Dhasade Jade Garcia Bourrée Anne-Marie Kermarrec Erwan Le Merrer Benoit Rottembourg Gilles Tredan MLAU 26 1 0 13 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations G. Berman Nitesh Goyal Michael A. Madaio ELM 45 20 0 30 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models Shih-Chi Ma Tatiana Ermakova Benjamin Fabian FaML 18 0 0 04 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 40 6 0 27 Dec 2023
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools Sundaraparipurnan Narayanan 33 0 0 16 Dec 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata Mark Díaz Sunipa Dev Emily Reif Remi Denton Vinodkumar Prabhakaran 33 3 0 28 Nov 2023
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models Veronica Chatrath Oluwanifemi Bamgbose Shaina Raza ALM ELM 19 1 0 20 Oct 2023