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dc.contributor.authorAbou-Zahra, Shadi
dc.contributor.authorBrewer, Judith A
dc.contributor.authorCooper, Michael N
dc.date.accessioned2018-06-21T17:18:24Z
dc.date.available2018-06-21T17:18:24Z
dc.date.issued2018-04
dc.identifier.isbn978-1-4503-5651-0/18/04
dc.identifier.urihttp://hdl.handle.net/1721.1/116479
dc.description.abstractThe term “artificial intelligence” is a buzzword today and is heavily used to market products, services, research, conferences, and more. It is scientifically disputed which types of products and services do actually qualify as “artificial intelligence” versus simply advanced computer technologies mimicking aspects of natural intelligence. Yet it is undisputed that, despite often inflationary use of the term, there are mainstream products and services today that for decades were only thought to be science fiction. They range from industrial automation, to self-driving cars, robotics, and consumer electronics for smart homes, workspaces, education, and many more contexts. Several technological advances enable what is commonly referred to as “artificial intelligence”. It includes connected computers and the Internet of Things (IoT), open and big data, low cost computing and storage, and many more. Yet regardless of the definition of the term artificial intelligence, technological advancements in this area provide immense potential, especially for people with disabilities. In this paper we explore some of these potential in the context of web accessibility. We review some existing products and services, and their support for web accessibility. We propose accessibility conformance evaluation as one potential way forward, to accelerate the uptake of artificial intelligence, to improve web accessibility.en_US
dc.description.sponsorshipEuropean Commission (H2020 GA 780057)en_US
dc.language.isoen_US
dc.publisherACMen_US
dc.relation.isversionofhttps://www.dropbox.com/sh/b4ms0ndc89el5ah/AAAI_e1BJ_z5XbU3bvgRQXesa?dl=0&preview=38.pdfen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceCooperen_US
dc.titleArtificial Intelligence for Web Accessibility – Conformance Evaluation as a Way Forward?en_US
dc.typeArticleen_US
dc.identifier.citationAbou-Zahra, Shadi, Judy Brewer, and Michael Cooper. "Artificial Intelligence (AI) for Web Accessibility: Is Conformance Evaluation a Way Forward?" Web4All 2018, 23-25 April, 2018, Lyon, France, ACM, 2018. © 2018 Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.approverCooper, Michael N.en_US
dc.contributor.mitauthorBrewer, Judith A
dc.contributor.mitauthorCooper, Michael N
dc.relation.journalWeb4All 2018en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsAbou-Zahra, Shadi; Brewer, Judy; Cooper, Michaelen_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US


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