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Grand Challenge 2

Grand Challenge 2

How do we design technology and education to be accessible at its inception — not as an add-on?

In 2023, more than one million people in Washington state — nearly 14% of the population — had a disability. While disability is part of so many individuals’ lived experiences, the majority of technology design addresses accessibility as an afterthought, if it addresses it at all.

For example, many AI systems generate code and media that is inaccessible or biased, yet data about disability and accessibility is lacking; most mobile apps and websites are inaccessible, yet accessibility verification and repair is neither well understood nor supported by modern tools; and repairing this puts a high legal and cost burden on all of the organizations adopting such technologies. Allen School researchers are pursuing “accessibility first” to ensure all technologies and related educational experiences reflect the vast array of human experiences and preferences — which ultimately benefits everyone.


Selected Projects

This grant investigates bias, privacy, and security risks when GAI is used in assistive technology contexts and for accessibility, and they explore possibilities for addressing these risks.

Zhuohao (Jerry) Zhang, Jacob O. Wobbrock, Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

Anant Mittal, Meghna Gupta, Roshni Poddar, Tarini Naik, Seethalakshmi Kuppuraj, James Fogarty, Pratyush Kumar, Mohit Jain
Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

Alannah Oleson, Amy J. Ko, Richard E. Ladner

Venkatesh Potluri, Sudheesh Singanamalla, Nussara Tieanklin, Jennifer Mankoff
ASSETS 2023: 13:1-13:19

Aashaka Desai, Rahaf Alharbi, Stacy Hsueh, Richard E. Ladner, Jennifer Mankoff
CHI 2025: 218:1-218:18

Kai Nylund, Jennifer Mankoff, Venkatesh Potluri
Computer Graphics Forum 44(3) (2025)