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1810.01943
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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
3 October 2018
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
Kalapriya Kannan
P. Lohia
Jacquelyn Martino
S. Mehta
Aleksandra Mojsilović
Seema Nagar
K. Ramamurthy
John T. Richards
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
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Papers citing
"AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias"
50 / 370 papers shown
Title
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
48
0
0
26 Apr 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
Kewen Peng
Yicheng Yang
Hao Zhuo
32
0
0
23 Apr 2025
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
Léandre Eberhard
Nirek Sharma
Filipp Shelobolin
Aalok Ganesh Shanbhag
FaML
50
0
0
22 Apr 2025
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
Xiaoyang Wang
Christopher C. Yang
24
0
0
19 Apr 2025
Software Engineering Principles for Fairer Systems: Experiments with GroupCART
Kewen Peng
Hao Zhuo
Yicheng Yang
Tim Menzies
FaML
57
0
0
17 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
26
0
0
08 Apr 2025
BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents
Haoxuan Li
Mingyu Derek Ma
Jen-tse Huang
Zhaotian Weng
Wei Wang
Jieyu Zhao
37
0
0
07 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
FaML
64
0
0
03 Apr 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
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
105
0
0
03 Feb 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
38
0
0
06 Jan 2025
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition
Shreya G. Upadhyay
Woan-Shiuan Chien
Chi-Chun Lee
28
0
0
03 Jan 2025
The Evolution of LLM Adoption in Industry Data Curation Practices
Crystal Qian
Michael Xieyang Liu
Emily Reif
Grady Simon
Nada Hussein
Nathan Clement
James Wexler
Carrie J. Cai
Michael Terry
Minsuk Kahng
AILaw
ELM
77
4
0
20 Dec 2024
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning
Ruifan Huang
Haixia Liu
FedML
FaML
64
0
0
01 Dec 2024
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
67
1
0
25 Nov 2024
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis
Marcel Robeer
Michiel Bron
Elize Herrewijnen
Riwish Hoeseni
Floris Bex
67
0
0
22 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
S. Giddens
F. Liu
29
0
0
14 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
70
0
0
10 Nov 2024
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
28
1
0
17 Oct 2024
Mitigation of gender bias in automatic facial non-verbal behaviors generation
Alice Delbosc
M. Ochs
Nicolas Sabouret
Brian Ravenet
Stéphane Ayache
29
0
0
09 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
Lucas Rosenblatt
R. T. Witter
FaML
22
0
0
02 Oct 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
Manh Khoi Duong
Stefan Conrad
UD
FaML
45
0
0
19 Sep 2024
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
Yongsu Ahn
Quinn K. Wolter
Jonilyn Dick
Janet Dick
Yu-Ru Lin
HAI
37
0
0
10 Sep 2024
Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset
Diego Dimer Rodrigues
AI4CE
14
0
0
27 Aug 2024
Post-processing fairness with minimal changes
Federico Di Gennaro
Thibault Laugel
Vincent Grari
X. Renard
Marcin Detyniecki
27
1
0
27 Aug 2024
Fooling SHAP with Output Shuffling Attacks
Jun Yuan
Aritra Dasgupta
23
1
0
12 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
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
Edyta Bogucka
Marios Constantinides
Julia De Miguel Velazquez
S. Šćepanović
Daniele Quercia
Andrés Gvirtz
34
1
0
22 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
40
0
0
02 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin
Zikang Xu
Yuan Zhong
Qiongsong Yao
Qi Dou
S. Kevin Zhou
Xiaoxiao Li
VLM
32
12
0
01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney
Zihao Fu
Sandra Wachter
Brent Mittelstadt
Chris Russell
FaML
59
3
0
30 Jun 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
Kaveen Hiniduma
Suren Byna
J. L. Bez
Ravi Madduri
43
5
0
27 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
2
0
20 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
37
0
0
04 Jun 2024
The Life Cycle of Large Language Models: A Review of Biases in Education
Jinsook Lee
Yann Hicke
Renzhe Yu
Christopher A. Brooks
René F. Kizilcec
AI4Ed
34
1
0
03 Jun 2024
Resource-constrained Fairness
Sofie Goethals
Eoin Delaney
Brent Mittelstadt
Christopher Russell
FaML
86
1
0
03 Jun 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
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
Manh Khoi Duong
Stefan Conrad
30
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
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
28
0
0
02 May 2024
How Could AI Support Design Education? A Study Across Fields Fuels Situating Analytics
Ajit Jain
Andruid Kerne
Hannah Fowler
Jinsil Seo
Galen Newman
Nic Lupfer
Aaron Perrine
19
1
0
26 Apr 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
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
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
Vincent Grari
Marcin Detyniecki
25
0
0
16 Apr 2024
AI Competitions and Benchmarks: Dataset Development
Romain Egele
Julio C. S. Jacques Junior
Jan N. van Rijn
Isabelle M Guyon
Xavier Baró
Albert Clapés
Prasanna Balaprakash
Sergio Escalera
T. Moeslund
Jun Wan
42
0
0
15 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
41
1
0
12 Apr 2024
The Necessity of AI Audit Standards Boards
David Manheim
Sammy Martin
Mark Bailey
Mikhail Samin
Ross Greutzmacher
33
7
0
11 Apr 2024
Data Readiness for AI: A 360-Degree Survey
Kaveen Hiniduma
Suren Byna
J. L. Bez
38
6
0
08 Apr 2024
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
Irene Pagliai
G. V. Boven
Tosin P. Adewumi
Lama Alkhaled
Namrata Gurung
Isabella Sodergren
Elisa Barney
39
1
0
07 Apr 2024
Procedural Fairness in Machine Learning
Ziming Wang
Changwu Huang
Xin Yao
FaML
44
0
0
02 Apr 2024
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