Blogs (3) >>
Thu 21 Mar 2024 13:45 - 14:10 at Meeting Rooms B113-114 - Accessibility - Fairness Chair(s): Justice Walker

Ensuring the fairness of machine learning (ML) systems for individuals with disabilities is of paramount importance. To achieve this, proactive measures are required to identify and mitigate biases originating from data and models, thereby preventing potential harm or bias against people with disabilities. While previous research on ML fairness education primarily concentrated on gender and race fairness, the domain of disability fairness has received comparatively little attention. Addressing this gap, we adopted a student-centric approach to craft a disability fairness teaching intervention. We conducted a two-session focus group consisting of students experienced in machine learning, accessible computing, or both. The focus group outcomes underscored the significance of engagement and scaffolding strategies for effectively learning intricate topics. Consequently, we crafted a disability fairness hands-on programming assignment that delves into uncovering disability bias with a lens that takes intersectionality into account. The assignment was tailored for an introductory undergraduate data science (DS) course. We employed a combination of reflective questions and surveys to gauge the effectiveness of our approach. The findings indicate the success of our approach in promoting a deeper understanding of disability fairness within the context of DS education.

Thu 21 Mar

Displayed time zone: Pacific Time (US & Canada) change

13:45 - 15:00
Accessibility - FairnessPapers at Meeting Rooms B113-114
Chair(s): Justice Walker University of Texas at El Paso
13:45
25m
Talk
Crafting Disability Fairness Learning in Data Science: A Student-Centric Pedagogical Approach
Papers
Pax Newman Western Washington University, Tyanin Opdahl Western Washington University, Yudong Liu Western Washington University, Scott Wehrwein Western Washington University, Yasmine Elglaly Western Washington University
DOI
14:10
25m
Talk
From Awareness to Action: Teaching Software Accessibility for Neurodiverse Users
Papers
Devorah Kletenik Brooklyn College, City University of New York, Rachel Minkowitz Cornell Tech, Aleksandra Peric Northeastern Illinois University, Mehmet Sahin Brooklyn College, Rachel F. Adler University of Illinois Urbana-Champaign
DOI
14:35
25m
Talk
Motivated by Inclusion: Evaluating the Impact of Games on Students’ Motivation to Design Accessibly Across a Spectrum of Disabilities
Papers
Devorah Kletenik Brooklyn College, City University of New York, Rachel F. Adler University of Illinois Urbana-Champaign
DOI