As information technology becomes a necessity, rather than just a convenience, for most people, more attention is now focused on supporting the widest range of users; thus, making technology more inclusive. At the same time as awareness of inclusive technology is increasing, radically new ways to support users are emerging from advances in generative AI. Can generative AI provide value for developers of inclusive technology? What further work will be needed to make the most of the potential? These are the questions addressed in the accompanying paper, with a specific emphasis on supporting people with dyslexia.

The natural language capabilities demonstrated by large language models (LLMs) highlight an opportunity for new writing support tools that address the varied needs of people with dyslexia. We present LaMPost, a prototype email editor that draws upon our understanding of these needs to motivate AI-powered writing features, such as outlining main ideas, generating a subject line, suggesting changes, and rewriting a selection. We evaluated LaMPost with 19 adults with dyslexia, identifying promising routes for further exploration (such as the popular "rewrite" and "subject line" features), while also finding that the current generation of LLMs may not yet meet the accuracy and quality thresholds to be useful for writers with dyslexia. In addition, knowledge of the AI did not alter participants' perception of the system nor their feelings of autonomy, expression, and self-efficacy when writing emails. Our findings provide insight into the benefits and drawbacks of LLMs as writing support for adults with dyslexia, and they offer a foundation to build upon in future research. Dyslexia refers to a cluster of symptoms that result in challenges with word recognition, reading fluency, spelling, and writing population.8