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Artificial Intelligence (AI) for Web Accessibility: Is Conformance Evaluation a Way Forward?

Published: 23 April 2018 Publication History

Abstract

The 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.

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Cited By

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  • (2025)Web accessibility barriers and their cross-disability impact in eSystems: A scoping reviewComputer Standards & Interfaces10.1016/j.csi.2024.10392392(103923)Online publication date: Mar-2025
  • (2024)A Universal Web Accessibility Feedback Form: A Participatory Design StudyProceedings of the 21st International Web for All Conference10.1145/3677846.3677853(106-117)Online publication date: 13-May-2024
  • (2024)Machine-Learning-Based Accessibility SystemSN Computer Science10.1007/s42979-024-02615-95:3Online publication date: 28-Feb-2024
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W4A '18: Proceedings of the 15th International Web for All Conference
April 2018
223 pages
ISBN:9781450356510
DOI:10.1145/3192714
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2018

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Author Tags

  1. Accessibility for People with Disabilities
  2. Artificial Intelligence
  3. Assistive Technology
  4. Conformance
  5. Machine Learning
  6. Testing
  7. Verification
  8. Web Standards
  9. World Wide Web

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • European Commission H2020

Conference

W4A '18
W4A '18: The Internet of Accessible Things
April 23 - 25, 2018
Lyon, France

Acceptance Rates

W4A '18 Paper Acceptance Rate 25 of 43 submissions, 58%;
Overall Acceptance Rate 171 of 371 submissions, 46%

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Cited By

View all
  • (2025)Web accessibility barriers and their cross-disability impact in eSystems: A scoping reviewComputer Standards & Interfaces10.1016/j.csi.2024.10392392(103923)Online publication date: Mar-2025
  • (2024)A Universal Web Accessibility Feedback Form: A Participatory Design StudyProceedings of the 21st International Web for All Conference10.1145/3677846.3677853(106-117)Online publication date: 13-May-2024
  • (2024)Machine-Learning-Based Accessibility SystemSN Computer Science10.1007/s42979-024-02615-95:3Online publication date: 28-Feb-2024
  • (2023)A Systematic Review of Communication Augmented by Human Intelligence and Artificial IntelligenceExploring Ethical Dimensions of Environmental Sustainability and Use of AI10.4018/979-8-3693-0892-9.ch001(1-27)Online publication date: 7-Dec-2023
  • (2023)Human Resources Management After Industry 4.0Strategic Human Resource Management in the Hospitality Industry10.4018/978-1-6684-7494-5.ch005(97-115)Online publication date: 28-Apr-2023
  • (2023)Facilitating the implementation of AI-based assistive technologies for persons with disabilities in vocational rehabilitation: A practical design thinking approachProceedings of London International Conferences10.31039/plic.2023.8.164(48-53)Online publication date: 2-Dec-2023
  • (2023)Facilitating the implementation of AI-based assistive technologies for persons with disabilities in vocational rehabilitation: A practical design thinking approachLondon Journal of Interdisciplinary Sciences10.31039/ljis.2023.1.221(44-49)Online publication date: 30-Dec-2023
  • (2023)Artistic Fusion: Exploring the Potential of AI-Generated Artwork in Enabling Creative Expression with People with Intellectual DisabilitiesProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638429(648-656)Online publication date: 2-Dec-2023
  • (2023)Creating Accessibility 2.0 with Artificial IntelligenceProceedings of Mensch und Computer 202310.1145/3603555.3608541(437-441)Online publication date: 3-Sep-2023
  • (2023)Development of Electronic Course as the Element of Adaptive Training System2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT59525.2023.10313159(1-5)Online publication date: 18-Oct-2023
  • Show More Cited By

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