A study by webaim.org on accessibility in 2023 found that 96.3% of home pages had been found to have problems with aligning to the Web Content Accessibility Guidelines (WebAIM: The WebAIM Million - the 2023 Report on the Accessibility of the Top 1,000,000 Home Pages. 29 Mar. 2023, webaim.org/projects/million). To address these issues, an AI-enabled system is proposed to dynamically enhance web accessibility. The system uses machine learning algorithms to identify and rectify accessibility issues in real-time, integrating with exist-ing development workflows. Empirical evaluation and case studies demon-strate the efficacy of this solution in improving web accessibility across diverse scenarios.
2. Every 8th person has disability
* Roughly 1 Bn out of total 8.1 Bn World population has disability
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
3. 96.3% of home-pages failed
Web Content Accessibility Guidelines (WCAG)
*Affects more than 1 billion websites of the total across internet that includes the 18% active sites.
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
4. Major aspects of
WCAG 2.0 Level AA + Section 508 Alignment
*The WCAG 2.0 guidelines were published in 2008
**Section 508 is a part of the United States Workforce Rehabilitation Act of
1973.
Level A (minimum)
Addresses the most basic web accessibility features,
but does not generally achieve broad accessibility
Level AA (mid-range)
Addresses most common barriers for disabled users
and aligns to the Revised 508 Standards
Level AAA (highest)
Addresses the highest level of web accessibility, but is
not recommended as a general policy, because it is not
possible to satisfy all criteria for some content.
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
5. How Technology Works?
Use of GPT based Tuned Models
* For the POC the training data was based on the limited potential outcomes
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
6. Traditional Approach:
Fixing Accessibility Issues while
Development is going on for the sites
New Approach in These Experiments:
Fixing Accessibility Issues On the
Fly by AI for sites
New Approach of Solving
the Accessibility Problems
• only new sites get the benefit
• Existing legacy sites with issues are not fixed due to
cost/time/complexity of factors.
• High cost & time
• No special handling of accessibility issues during
development
• All existing sites with issues are fixed.
• Low cost and time to fix.
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
7. Experiment #1
Fixing Most Common
Accessibility Issues
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
8. Experiment #1 Missing Aria Landmark
Missing ALT tag
Heading Structure
Missing Form Labels
Aria for decorative image
Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
18. Thank you.
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Empowering Web-Accessibility through Artificial Intelligence (AI) | Samir Dash | samdash@cisco.com | 5 April 2024
https://www.slideshare.net/MobileWish