Papers citing 'AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias'

Title
Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation Nicoleta Tantalaki Sophia Vei Athena Vakali 42 0 0 27 Nov 2025
On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer DetectionMachine Learning for Biomedical Imaging (MLBI), 2025 Brandon Dominique Prudence Lam N. Kurtansky Jochen Weber Kivanc Kose V. Rotemberg Jennifer Dy 88 0 0 10 Nov 2025
Achieving Fairness Without Harm via Selective Demographic Experts Xuwei Tan Yuanlong Wang Thai-Hoang Pham Ping Zhang Xueru Zhang 84 0 0 09 Nov 2025
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective Zhecheng Sheng Jiawei Zhang Enmao Diao FaML 268 0 0 01 Nov 2025
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness Jan Simson Alessandro Fabris Cosima Fröhner Frauke Kreuter Christoph Kern 107 0 0 25 Oct 2025
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space Sofoklis Kitharidis Cor J. Veenman Thomas Bäck Niki van Stein FaML 301 0 0 25 Oct 2025
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation Loc Phuc Truong Nguyen Hung Thanh Do ELM 126 0 0 21 Oct 2025
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth Qiran Zou Hou Hei Lam Wenhao Zhao Yiming Tang Tingting Chen S. Yu Tianyi Zhang Chang Liu X. Ji Dianbo Liu LLMAG 125 0 0 12 Oct 2025
PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing Jianhan Zhang Jitao Wang C. Shi John D. Piette Donglin Zeng Zhenke Wu OffRL FaML OnRL 209 0 0 08 Oct 2025
Causal Fuzzing for Verifying Machine Unlearning Anna Mazhar Sainyam Galhotra MU CML 76 0 0 20 Sep 2025
On Optimal Steering to Achieve Exact Fairness Mohit Sharma Amit Deshpande Chiranjib Bhattacharyya R. Shah LLMSV 193 0 0 19 Sep 2025
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks Asim Waheed Vasisht Duddu Rui Zhang S. Szyller AAML 221 1 0 15 Sep 2025
Applications and Challenges of Fairness APIs in Machine Learning SoftwareACM Transactions on Software Engineering and Methodology (TOSEM), 2025 Ajoy Das Gias Uddin Shaiful Chowdhury Mostafijur Rahman Akhond Hadi Hemmati FaML 196 0 0 22 Aug 2025
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework Brodie Oldfield Ziqi Xu Sevvandi Kandanaarachchi 84 0 0 21 Aug 2025
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing Ruicheng Xian Yuxuan Wan Han Zhao FaML 185 0 0 15 Aug 2025
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data Eduardo Aguilar-Bejarano Daniel Lea Karthikeyan Sivakumar J. M. Mase Reza Omidvar ... Troy Kettle James Mitchell-White Morgan R Alexander David A. Winkler Grazziela Figueredo LMTD VLM 110 0 0 23 Jul 2025
Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation Joydeep Chandra Satyam Kumar Navneet 73 1 0 21 Jul 2025
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 152 0 0 17 Jun 2025
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 OffRL LRM 257 3 0 14 Jun 2025
ExplainBench: A Benchmark Framework for Local Model Explanations in Fairness-Critical Applications James Afful FAtt FedML 74 0 0 31 May 2025
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 91 0 0 23 May 2025
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection Mykola Trokhymovych Lydia Pintscher R. Baeza-Yates Diego Sáez-Trumper KELM 86 0 0 23 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 303 0 0 26 Apr 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 349 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 196 0 0 22 Apr 2025
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation ApproachConference on Artificial Intelligence in Medicine in Europe (AIME), 2025 Xiaoyang Wang Christopher C. Yang 181 1 0 19 Apr 2025
Software Engineering Principles for Fairer Systems: Experiments with GroupCART Kewen Peng Hao Zhuo Yicheng Yang Tim Menzies FaML 248 0 0 17 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 245 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 242 3 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 348 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 243 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 382 1 0 03 Feb 2025
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use CasesJournal of Open Source Software (JOSS), 2025 Dylan Bouchard Mohit Singh Chauhan David Skarbrevik Viren Bajaj Zeya Ahmad 233 5 0 06 Jan 2025
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Shreya G. Upadhyay Woan-Shiuan Chien Chi-Chun Lee 185 3 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 300 7 0 20 Dec 2024
Fairness via Independence: A (Conditional) Distance Covariance Framework Ruifan Huang Haixia Liu FedML FaML 579 2 0 01 Dec 2024
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation frameworkInternational Conference on Engineering, Technology and Innovation (ICE/IT), 2024 Sotiris Pelekis Evangelos Karakolis G. Lampropoulos S. Mouzakitis Ourania Markaki Christos Ntanos D. Askounis 332 2 0 25 Nov 2024
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis Marcel Robeer Michiel Bron Elize Herrewijnen Riwish Hoeseni Floris Bex 286 1 0 22 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens Fan Liu Fang Liu 270 1 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 525 3 0 10 Nov 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 255 3 0 17 Oct 2024
Mitigation of gender bias in automatic facial non-verbal behaviors generationInternational Conference on Multimodal Interaction (ICMI), 2024 Alice Delbosc M. Ochs Nicolas Sabouret Brian Ravenet Stéphane Ayache 242 1 0 09 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 291 1 0 02 Oct 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-MakersEuropean Conference on Artificial Intelligence (ECAI), 2024 Manh Khoi Duong Stefan Conrad UD FaML 275 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 305 2 0 10 Sep 2024
Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset Diego Dimer Rodrigues AI4CE 100 0 0 27 Aug 2024
Post-processing fairness with minimal changes Federico Di Gennaro Thibault Laugel Vincent Grari X. Renard Marcin Detyniecki 194 3 0 27 Aug 2024
Fooling SHAP with Output Shuffling Attacks Jun Yuan Aritra Dasgupta 245 2 0 12 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Sribala Vidyadhari Chinta Zhipeng Yin Matthew Gonzalez Matthew Gonzalez 247 61 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 158 2 0 22 Jul 2024