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Abstract update per Jason and Josh edits
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<p>Recent advances in machine learning and generative artificial intelligence (<abbr>AI</abbr>) have expanded the range of possibility and problems for which effective computational solutions are feasible. Examples of such challenges 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 including, authors who want to create accessible content, to accessibility evaluators and testers. 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 for users and accessibility practitioners alike.</p>
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<p>Fundamental concepts of machine learning and generative AI are first introduced. The discussion then centers on a series of cases illustrative of accessibiltiy-related applications that are being transformed by this technology.</p>
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<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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<p>Fundamental concepts of machine learning and generative AI are first introduced. The discussion then centers on a series of cases illustrative of accessibiltiy-related applications transformed by this technology.</p>
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<p>This is a draft collection of relevant information related to cross-disability accessibility guidance of how developments in machine learning and generative Artificial Intelligence (AI) clearly bears an impact on web accessibility standards and processes. Given the rapid changes in the consumption and development of AI design, this is intended to be a starting point to group the accessibility implications of machine learning and generative AI technologies.</p>

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