Title
FairSense-AI: Responsible AI Meets Sustainability Shaina Raza Mukund Sayeeganesh Chettiar Matin Yousefabadi Tahniat Khan Marcelo Lotif 40 0 0 04 Mar 2025
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 59 3 0 30 Jun 2024
DispaRisk: Assessing and Interpreting Disparity Risks in Datasets Jonathan Vasquez Carlotta Domeniconi Huzefa Rangwala 25 0 0 20 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 33 5 0 29 Mar 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations G. Berman Nitesh Goyal Michael A. Madaio ELM 36 20 0 30 Jan 2024
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Machine Learning practices and infrastructures G. Berman 20 3 0 13 Jul 2023
ICON $^2$ : Reliably Benchmarking Predictive Inequity in Object Detection Sruthi Sudhakar Viraj Prabhu Olga Russakovsky Judy Hoffman 33 2 0 07 Jun 2023
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models Arkadipta De Satya Swaroop Gudipudi Sourab Panchanan M. Desarkar FaML 13 0 0 30 Dec 2022
EdnaML: A Declarative API and Framework for Reproducible Deep Learning Abhijit Suprem Sanjyot Vaidya A. Venugopal J. Ferreira C. Pu MoE 18 1 0 13 Nov 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 37 9 0 06 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 108 41 0 26 May 2022
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning Abhijit Suprem Sanjyot Vaidya Suma Cherkadi Purva Singh J. E. Ferreira C. Pu 40 1 0 20 May 2022
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models David Nigenda Zohar S. Karnin Muhammad Bilal Zafar Raghu Ramesha Alan Tan Michele Donini K. Kenthapadi VLM 14 41 0 26 Nov 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
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
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016