Fairlearn: Assessing and Improving Fairness of AI Systems

29 March 2023

Papers citing "Fairlearn: Assessing and Improving Fairness of AI Systems"

30 / 30 papers shown

Title
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness Yilin Ning Yian Ma Mingxuan Liu Xin Li Nan Liu 29 0 0 11 Apr 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints Parameswaran Kamalaruban Mark Anderson Stuart Burrell Maeve Madigan Piotr Skalski David Sutton 54 0 0 07 Mar 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
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation M. Khodak Lester W. Mackey Alexandra Chouldechova Miroslav Dudik 34 0 0 14 Nov 2024
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction Siqi Li Qiming Wu Xin Li Di Miao Chuan Hong ... Michael Hao Chen Mengying Yan Yilin Ning M. Ong Nan Liu 33 1 0 07 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 29 1 0 02 Oct 2024
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System Gary D. Lopez Munoz Amanda Minnich Roman Lutz Richard Lundeen Raja Sekhar Rao Dheekonda ... Tori Westerhoff Chang Kawaguchi Christian Seifert Ram Shankar Siva Kumar Yonatan Zunger SILM 32 8 0 01 Oct 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 33 3 0 25 Sep 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 38 0 0 16 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
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability Md Fahim Sikder R. Ramachandranpillai Daniel de Leng Fredrik Heintz 33 2 0 20 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
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 38 1 0 01 Jun 2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms Hilde Weerts Aislinn Kelly-Lyth Reuben Binns Jeremias Adams-Prassl 29 1 0 22 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
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 38 43 0 23 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain Yongchen Zhou Richard Jiang 24 2 0 07 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations G. Berman Nitesh Goyal Michael A. Madaio ELM 34 20 0 30 Jan 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 36 4 0 26 Jan 2024
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 17 4 0 28 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 14 1 0 21 Nov 2023
Positivity-free Policy Learning with Observational Data Pan Zhao Antoine Chambaz Julie Josse Shu Yang 34 6 0 10 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 16 14 0 08 Oct 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 16 6 0 12 Sep 2023
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions Jan Simson Florian Pfisterer Christoph Kern 17 12 0 31 Aug 2023
Simulating counterfactuals J. Karvanen S. Tikka M. Vihola 24 0 0 27 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 42 63 0 06 Jun 2023
Mining bias-target Alignment from Voronoi Cells Rémi Nahon Van-Tam Nguyen Enzo Tartaglione 24 5 0 05 May 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 33 18 0 15 Mar 2023
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018