Abstract
This paper addresses the pressing need to evaluate the maturity and performance metrics of generative AI tools dedicated to accessibility in product development. The problem lies in the lack of standardized methods for assessing the maturity of generative AI tools tailored to accessibility needs and the absence of universally accepted performance metrics to measure their efficacy. This deficiency hampers the advancement of inclusive design practices and limits the potential impact of AI-driven accessibility solutions. This paper proposes a comprehensive framework for evaluating the maturity of AI tools specifically designed for accessibility in product development. We elucidate the critical criteria integral to this evaluation, encompassing aspects such as usability, reliability, scalability, and adaptability to diverse user needs and contexts. The proposed solution aims to contribute valuable knowledge to the evolving landscape of generative AI tools dedicated to enhancing accessibility in product development. By establishing a structured approach to assessing maturity and advocating for standardized performance metrics, our research endeavors to empower developers, designers, and stakeholders to make informed decisions regarding the adoption and refinement of AI-driven accessibility solutions.
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