Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness
for Predictive Student Models

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Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models

24 May 2023

Sébastien Lallé

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Papers citing "Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models"

11 / 11 papers shown

Title
Educational data mining and learning analytics: An updated survey C. Romero Sebastián Ventura FedML 51 611 0 10 Feb 2024
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 48 18 0 21 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 82 249 0 01 Oct 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 51 188 0 01 Jun 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 52 51 0 14 May 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? Kenneth Holstein Shayan Doroudi 29 36 0 27 Apr 2021
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 63 124 0 10 Jul 2020
Evaluation of Fairness Trade-offs in Predicting Student Success Hansol Lee René F. Kizilcec 47 29 0 30 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 63 392 0 21 Jan 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 571 14 0 23 Aug 2019
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 110 3,148 0 21 Jul 2016