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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 posesboth risks and opportunities for people with disabilities, little is knownspecifically about GAI in particular. To address this, we conducted athree-month autoethnography of our use of GAI to meet personal and professionalneeds as a team of researchers with and without disabilities. Our findingsdemonstrate a wide variety of potential accessibility-related uses for GAIwhile also highlighting concerns around verifiability, training data, ableism,and false promises.

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