An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negative. However, although we know that AI in general poses both risks and opportunities for people with disabilities, little...

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Bibliographic Details
Published in:arXiv.org 2023-08
Main Authors: Glazko, Kate S, Yamagami, Momona, Desai, Aashaka, Kelly Avery Mack, Potluri, Venkatesh, Xu, Xuhai, Mankoff, Jennifer
Format: Article
Language:English
Subjects:
Accessibility
Generative artificial intelligence
Online Access:Get full text
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Summary:With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negative. However, although we know that AI in general poses both risks and opportunities for people with disabilities, little is known specifically about GAI in particular. To address this, we conducted a three-month autoethnography of our use of GAI to meet personal and professional needs as a team of researchers with and without disabilities. Our findings demonstrate a wide variety of potential accessibility-related uses for GAI while also highlighting concerns around verifiability, training data, ableism, and false promises.
ISSN:2331-8422
DOI:10.48550/arxiv.2308.09924