Generative AI and Accessibility Benefits, Trade Offs, and Impacts of Intersectionality

Presentations followed by Q&A:

Kate Glazko & Jun Cha: Autoethnographic Insights from Neurodivergent GAI “Power Users” Generative AI has become ubiquitous in both daily and professional life, with emerging research demonstrating its potential as a tool for accessibility.

Neurodivergent people, often left out by existing accessibility technologies, develop their own ways of navigating normative expectations.

Sev Huffman: "We do use it, but not how hearing people think”: How the Deaf and Hard of Hearing Community Uses Large Language Model Tools" Generative AI tools, particularly those utilizing large language models (LLMs), are increasingly used in everyday contexts. While these tools enhance productivity and accessibility, little is known about how Deaf and Hard of Hearing (DHH) individuals engage with them or the challenges they face when using them.

Glazko is a PhD student at the Allen School, UW. Cha is a graduate student in the Department of Statistics at the University of Wisconsin, Madison. Huffman (Gallaudet, UW) is a software engineer and HCI researcher.

 

Accommodations: ASL and CART provided; Zoom captions enabled. For other accommodation requests please contact Eric at ericwt@uw.edu