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Aequitas: A Bias and Fairness Audit Toolkit
v1v2 (latest)

Aequitas: A Bias and Fairness Audit Toolkit

14 November 2018
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
ArXiv (abs)PDFHTML

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

50 / 148 papers shown
Title
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
Modar Sulaiman
Kallol Roy
43
0
0
18 Jun 2025
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Ata Yalcin
Asli Umay Ozturk
Yigit Sever
Viktoria Pauw
Stephan Hachinger
Ismail Hakki Toroslu
Pinar Karagoz
FaML
36
0
0
17 Jun 2025
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Asifullah Khan
Muhammad Zaeem Khan
Saleha Jamshed
Sadia Ahmad
Aleesha Zainab
Kaynat Khatib
Faria Bibi
Abdul Rehman
OffRLLRM
23
0
0
14 Jun 2025
From Bias to Accountability: How the EU AI Act Confronts Challenges in European GeoAI Auditing
From Bias to Accountability: How the EU AI Act Confronts Challenges in European GeoAI Auditing
Natalia Matuszczyk
Craig R. Barnes
Rohit Gupta
Bulent Ozel
Aniket Mitra
17
0
0
23 May 2025
SHAP-based Explanations are Sensitive to Feature Representation
Hyunseung Hwang
Andrew Bell
Joao Fonseca
Venetia Pliatsika
Julia Stoyanovich
Steven Euijong Whang
TDIFAtt
71
0
0
13 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
Tianyu Zhang
Shen Dong
O. Deniz Kose
Yanning Shen
Yanzhe Zhang
FaML
83
0
0
12 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
Chih-Cheng Rex Yuan
Bow-Yaw Wang
154
0
0
30 Apr 2025
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
Tina Behzad
Mithilesh Singh
Anthony J. Ripa
Klaus Mueller
92
0
0
22 Apr 2025
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Florian Rupp
Manuel Eberhardinger
Kai Eckert
101
2
0
24 Mar 2025
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Sami Zhioua
Ruta Binkyt.e
Ayoub Ouni
Farah Barika Ktata
56
0
0
23 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Nazarii Drushchak
Vladyslava Tyshchenko
Nataliya Polyakovska
94
0
0
27 Feb 2025
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models
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
EGVMVLM
500
0
0
10 Jan 2025
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
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
83
0
0
06 Jan 2025
Trustworthy artificial intelligence in the energy sector: Landscape
  analysis and evaluation framework
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
157
1
0
25 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research
  Challenges
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
70
4
0
15 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
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
204
0
0
10 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaMLFAtt
227
1
0
29 Oct 2024
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to
  Elicit Biased Content from Generative AI
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
89
5
0
20 Oct 2024
Efficient Fairness-Performance Pareto Front Computation
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba
Binyamin Perets
Shie Mannor
69
0
0
26 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
Marybeth Defrance
Maarten Buyl
Tijl De Bie
111
3
0
25 Sep 2024
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML
  Fairness
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness
Olive Franzese
Ali Shahin Shamsabadi
Hamed Haddadi
49
3
0
17 Sep 2024
The 20 questions game to distinguish large language models
The 20 questions game to distinguish large language models
Gurvan Richardeau
Erwan Le Merrer
C. Penzo
Gilles Tredan
106
1
0
16 Sep 2024
Detecting Interpretable Subgroup Drifts
Detecting Interpretable Subgroup Drifts
Flavio Giobergia
Eliana Pastor
Luca de Alfaro
Elena Baralis
57
0
0
26 Aug 2024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias
  through Data-centric Factors
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
Xueying Ding
Rui Xi
Leman Akoglu
FaML
47
0
0
24 Aug 2024
Fairness in Large Language Models in Three Hours
Fairness in Large Language Models in Three Hours
Thang Doan Viet
Zichong Wang
Minh Nhat Nguyen
Wenbin Zhang
83
10
0
02 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI
  Applications
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
81
26
0
26 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
119
1
0
16 Jul 2024
Auditing of AI: Legal, Ethical and Technical Approaches
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
87
44
0
07 Jul 2024
The Switch, the Ladder, and the Matrix: Models for Classifying AI
  Systems
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Jakob Mokander
Margi Sheth
David S. Watson
Luciano Floridi
68
8
0
07 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
96
0
0
02 Jul 2024
FairLay-ML: Intuitive Debugging of Fairness in Data-Driven
  Social-Critical Software
FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software
Normen Yu
Luciana Carreon
Gang Tan
Saeid Tizpaz-Niari
41
2
0
01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney
Zihao Fu
Sandra Wachter
Brent Mittelstadt
Chris Russell
FaML
122
3
0
30 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Emmanouil Krasanakis
Symeon Papadopoulos
76
0
0
27 Jun 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network
  Fairness
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
Kacy Zhou
Jiawen Wen
Nan Yang
Dong Yuan
Qinghua Lu
Huaming Chen
46
1
0
25 Jun 2024
FairX: A comprehensive benchmarking tool for model analysis using
  fairness, utility, and explainability
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability
Md Fahim Sikder
R. Ramachandranpillai
Daniel de Leng
Fredrik Heintz
69
3
0
20 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness
Using Self-supervised Learning Can Improve Model Fairness
Sofia Yfantidou
Dimitris Spathis
Marios Constantinides
Athena Vakali
Daniele Quercia
F. Kawsar
126
4
0
04 Jun 2024
Towards Standardizing AI Bias Exploration
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
100
3
0
29 May 2024
Pragmatic auditing: a pilot-driven approach for auditing Machine
  Learning systems
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
35
0
0
21 May 2024
Aequitas Flow: Streamlining Fair ML Experimentation
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
51
4
0
09 May 2024
Identifying Fairness Issues in Automatically Generated Testing Content
Identifying Fairness Issues in Automatically Generated Testing Content
Kevin Stowe
Benny Longwill
Alyssa Francis
Tatsuya Aoyama
Debanjan Ghosh
Swapna Somasundaran
69
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
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
81
1
0
12 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu
Zichong Wang
Wenbin Zhang
AILaw
127
42
0
31 Mar 2024
Equity in Healthcare: Analyzing Disparities in Machine Learning
  Predictions of Diabetic Patient Readmissions
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
Zainab Al-zanbouri
Gauri Sharma
Shaina Raza
100
0
0
27 Mar 2024
Analysing and Organising Human Communications for AI Fairness-Related
  Decisions: Use Cases from the Public Sector
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector
Mirthe Dankloff
Vanja Skoric
Giovanni Sileno
Sennay Ghebreab
Jacco van Ossenbruggen
Emma Beauxis-Aussalet
47
4
0
20 Mar 2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining
  the Fairness Effects of Target Variable Definition
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
49
0
0
09 Mar 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
77
50
0
23 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine
  Learning in Official Statistics and Survey Production
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Patrick Oliver Schenk
Christoph Kern
FaML
96
0
0
14 Feb 2024
Fairness Auditing with Multi-Agent Collaboration
Fairness Auditing with Multi-Agent Collaboration
M. Vos
Akash Dhasade
Jade Garcia Bourrée
Anne-Marie Kermarrec
Erwan Le Merrer
Benoit Rottembourg
Gilles Tredan
MLAU
70
2
0
13 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps
  Towards Effectiveness Evaluations
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
G. Berman
Nitesh Goyal
Michael A. Madaio
ELM
75
23
0
30 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
Shih-Chi Ma
Tatiana Ermakova
Benjamin Fabian
FaML
70
0
0
04 Jan 2024
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