Algorithmic Fairness in Education

10 July 2020

Papers citing "Algorithmic Fairness in Education"

10 / 10 papers shown

Title
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images Sami Baral L. Lucy Ryan Knight Alice Ng Luca Soldaini Neil T. Heffernan Kyle Lo 44 3 0 28 Jan 2025
What's in a Name? Auditing Large Language Models for Race and Gender Bias Amit Haim Alejandro Salinas Julian Nyarko 43 32 0 21 Feb 2024
Large Language Models in Education: Vision and Opportunities Wensheng Gan Zhenlian Qi Jiayang Wu Chun-Wei Lin AI4Ed 36 69 0 22 Nov 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values R. Varanasi Nitesh Goyal 26 46 0 14 Jul 2023
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models M. Verger Sébastien Lallé F. Bouchet Vanda Luengo 13 11 0 24 May 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 8 13 0 06 Mar 2023
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew S. Lan Christopher G. Brinton AI4Ed 17 10 0 05 Dec 2022
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 6 0 0 13 Sep 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016