+ <p>Recent advances in machine learning and generative artificial intelligence (<abbr>AI</abbr>) have expanded the range of problems for which effective computational solutions are feasible. Examples of such problems include improving the accuracy of speech recognition, image recognition, performing programming tasks, question answering, and natural language interaction. Machine learing technology also has unique and significant limitations. This document examines the consequences of these developments for the accessibility of the Web to people with disabilities, encompassing issues relevant to content authors, users, and accessibility evaluators. In doing so, it both addresses the potential benefits and clarifies issues that should be considered in the further evolution of Web standards and applications.</p>
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