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The VPAT was originally designed as a tool for vendors to document product compliance to Section 508 and facilitate government market research on ICT with accessible features. Many people started to call the completed document a "VPAT" but the wider procurement community would prefer to call it a product Accessibility Conformance Report, or ACR.
The Web Content Accessibility Guidelines 1.0 (known as WCAG) were published as a W3C Recommendation on 5 May 1999. A supporting document, Techniques for Web Content Accessibility Guidelines 1.0 [35] was published as a W3C Note on 6 November 2000. WCAG 1.0 is a set of guidelines for making web content more accessible to persons with disabilities.
Web accessibility, or eAccessibility, [1] is the inclusive practice of ensuring there are no barriers that prevent interaction with, or access to, websites on the World Wide Web by people with physical disabilities, situational disabilities, and socio-economic restrictions on bandwidth and speed.
Lastly, we need to keep in mind that AI-generated articles (as well as AI capabilities in general) are a moving target, with recent systems getting more reliable at generating Wikipedia-type articles than a simplistic ChatGPT prompt would achieve, see e.g. the previous "Recent research" issue: "Article-writing AI is less 'prone to reasoning ...
The grants are part of a five-year initiative that will invest $25 million in AI-based accessibility tools. This year, seven recipients will receive access to the Azure AI platform (through Azure ...
The first web accessibility guideline was compiled by Gregg Vanderheiden and released in January 1995, just after the 1994 Second International Conference on the World-Wide Web (WWW II) in Chicago (where Tim Berners-Lee first mentioned disability access in a keynote speech after seeing a pre-conference workshop on accessibility led by Mike Paciello).
Wikipedia:Large language models, a draft proposal for a Wikipedia guideline on the use of language models; Wikipedia:Artificial intelligence, an essay about the use of artificial intelligence on Wikipedia and Wikimedia projects; Initial version of Artwork title, a surviving article developed from raw LLM output (before this page had been developed)
In April 2022, Matthias Scheffler and colleagues argued in Nature that FAIR principles are "a must" so that data mining and artificial intelligence can extract useful scientific information from the data. [21] However, making data (and research outcomes) FAIR is a challenging task, and it is challenging to assess the FAIRness. [22]