Aequitas: A Bias and Fairness Audit Toolkit

14 November 2018

Kit T. Rodolfa

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

50 / 146 papers shown

Title
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 37 59 0 19 Oct 2023
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
Bias and Fairness in Chatbots: An Overview Jintang Xue Yun Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.-C. Jay Kuo 36 29 0 16 Sep 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models Emmanuel Klu Sameer Sethi 36 0 0 07 Sep 2023
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection Oana Inel Tim Draws Lora Aroyo 46 6 0 22 Aug 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 32 3 0 11 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 35 1 0 09 Aug 2023
The State of Algorithmic Fairness in Mobile Human-Computer Interaction Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar FaML 29 3 0 22 Jul 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 39 1 0 17 Jul 2023
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms Organizers of QueerInAI Nathaniel Dennler Anaelia Ovalle Ashwin Singh Luca Soldaini ... Kyra Yee Irene Font Peradejordi Zeerak Talat Mayra Russo Jessica de Jesus de Pinho Pinhal 26 15 0 15 Jul 2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations V. Venugopal Abhishek Gupta R. Takhar Charlene Jin Yee Liew Catherine Jones G. Szarf 19 1 0 02 Jun 2023
Statistical Inference for Fairness Auditing John J. Cherian Emmanuel J. Candès MLAU 40 8 0 05 May 2023
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks Zijie J. Wang David Munechika Seongmin Lee Duen Horng Chau 45 9 0 04 May 2023
Understanding accountability in algorithmic supply chains Jennifer Cobbe Michael Veale Jatinder Singh 57 61 0 28 Apr 2023
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes Shaina Raza 35 4 0 12 Apr 2023
Uncovering Bias in Personal Informatics Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 24 6 0 27 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 28 18 0 27 Mar 2023
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases Emma Bluemke Tantum Collins Ben Garfinkel Andrew Trask 22 10 0 15 Mar 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 38 0 0 13 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 43 17 0 01 Mar 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 48 196 0 16 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 46 23 0 14 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 41 18 0 13 Feb 2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? Falaah Arif Khan Denys Herasymuk Julia Stoyanovich 41 2 0 09 Feb 2023
Certifying Fairness of Probabilistic Circuits Nikil Selvam Mathias Niepert YooJung Choi FaML TPM 15 6 0 05 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 32 12 0 09 Nov 2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder Guowen Xu Xingshuo Han Gelei Deng Tianwei Zhang Shengmin Xu Jianting Ning Anjia Yang Hongwei Li 28 4 0 16 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 21 23 0 16 Sep 2022
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models E. Ingram Furkan Gursoy I. Kakadiaris FaML 22 2 0 14 Sep 2022
RecSys Fairness Metrics: Many to Use But Which One To Choose? Jessie J. Smith Lex Beattie 40 4 0 08 Sep 2022
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models Yanjun Gao Dmitriy Dligach T. Miller Dongfang Xu M. Churpek Majid Afshar AI4MH 26 36 0 17 Aug 2022
Representational Ethical Model Calibration R. Carruthers Isabel Straw James K. Ruffle Dan Herron Amy Nelson D. Bzdok D. Fernández-Reyes Geraint Rees P. Nachev 43 7 0 25 Jul 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 26 2 0 15 Jul 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms Amanda Coston Anna Kawakami Haiyi Zhu Kenneth Holstein Hoda Heidari 52 34 0 30 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission Shaina Raza 32 14 0 13 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 32 10 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 24 4 0 06 Jun 2022
Fool SHAP with Stealthily Biased Sampling Gabriel Laberge Ulrich Aïvodji Satoshi Hara M. Marchand Foutse Khomh MLAU AAML FAtt 29 2 0 30 May 2022
Bias Discovery in Machine Learning Models for Mental Health P. Mosteiro Jesse Kuiper Judith Masthoff Floortje E. Scheepers Marco Spruit 21 18 0 24 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 45 88 0 13 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 31 29 0 09 May 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness Xudong Han Aili Shen Yitong Li Lea Frermann Timothy Baldwin Trevor Cohn VLM FaML 28 12 0 04 May 2022
Fair Feature Subset Selection using Multiobjective Genetic Algorithm A. Rehman Anas Nadeem Muhammad Zubair Malik FaML 33 8 0 30 Apr 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms Nil-Jana Akpinar Manish Nagireddy Logan Stapleton H. Cheng Haiyi Zhu Steven Wu Hoda Heidari 36 14 0 21 Apr 2022
Recommendations on test datasets for evaluating AI solutions in pathology A. Homeyer Christian Geißler L. O. Schwen Falk Zakrzewski Theodore Evans ... Tobias Lang P. Boor Heimo Muller P. Hufnagl N. Zerbe 51 42 0 21 Apr 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 31 11 0 12 Apr 2022
System Cards for AI-Based Decision-Making for Public Policy Furkan Gursoy I. Kakadiaris MLAU 29 14 0 01 Mar 2022
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness E. A. Watkins Michael McKenna Jiahao Chen 22 30 0 19 Feb 2022