FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI
Applications

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications

26 July 2024

Sribala Vidyadhari Chinta

Matthew Gonzalez

Wenbin Zhang

Papers citing "FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications"

10 / 10 papers shown

Title
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 42 40 0 30 Mar 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 41 245 0 01 Oct 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory Xuejiao Tang Xin Huang Wenbin Zhang T. Child Qiong Hu Zhen Liu Ji Zhang LRM 46 18 0 04 Jul 2021
Online Decision Trees with Fairness Wenbin Zhang Liang Zhao 16 16 0 15 Oct 2020
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 76 474 0 28 May 2019
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 67 320 0 14 Nov 2018
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification Wenbin Zhang Jianwu Wang Daeho Jin L. Oreopoulos Zhibo Zhang 15 47 0 24 Aug 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 71 443 0 23 Feb 2018
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 112 1,978 0 11 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 257 25,443 0 09 Jun 2011