Beyond "Fairness:" Structural (In)justice Lenses on AI for Education

18 May 2021

Papers citing "Beyond "Fairness:" Structural (In)justice Lenses on AI for Education"

7 / 7 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
A Manifesto for a Pro-Actively Responsible AI in Education K. Porayska-Pomsta 22 11 0 03 May 2024
The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts Dorottya Demszky H. Hill 14 42 0 21 Nov 2022
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education Lydia T. Liu Serena Wang Tolani A. Britton Rediet Abebe AI4Ed 19 1 0 08 Sep 2022
Risks of AI Foundation Models in Education Su Lin Blodgett Michael A. Madaio UQCV 13 14 0 19 Oct 2021
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