References

An autoethnographic case study of generative artificial intelligence's utility for accessibility

Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, & Jennifer Mankoff (2023)

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 1-8.

DOI: https://doi.org/10.1145/3597638.3614548

Abstract. Autoethnographic study of seven disabled researchers using generative-AI tools across two months. Documents distinct accessibility benefits (drafting, naming, summarising) and harms (hallucinated alt-text, ableist outputs). The most-cited recent reference on generative-AI accessibility implications.

Tags: accessibility software ai-usability generative-ai

This site is currently in Beta. Contact: Chris Paton

Textbook of AI · Textbook of Digital Health

Auckland Maths and Science Tutoring