AudioEye Demonstrates AI Benefits for Digital Accessibility When Involving Members of the Disability Community
Generative AI can fix accessibility issues up to 10x faster, illustrating tremendous potential for the responsible use of AI when combined with human expertise
"These results demonstrate strong potential for using generative AI when paired with the right expertise and guidance," said Diego De La Cruz, a digital accessibility expert who conducts testing for AudioEye customers. "What sets this pilot study apart is the direct involvement of members of the disability community, who rely on assistive technologies such as screen readers and keyboard navigation, in identifying the potential of AI. There is a lot of excitement in the community about what we learned here and how it can inform and speed up improvements in the future."
The study, which used a Large Language Model ("LLM"), showed promising results for using generative AI in addressing one of accessibility's biggest impediments — a scalable solution for identifying and fixing complex accessibility issues that typically require time-consuming human analysis. More specifically:
- AI identified fixes for a complex accessibility issue that were nearly on par with those generated by human experts (see Link Purpose below in "Methodology").
- Using AI-generated fixes as a starting point, human accessibility experts achieved up to a 10x reduction in the time required to identify a code-based solution and communicate how to implement the update to a developer.
- The results show potential for human experts to utilize AI technology to significantly save time and increase the scale at which they can identify and fix more complex digital accessibility issues.
"Everyone is talking about AI," said David Moradi, CEO of AudioEye, "but when it comes to digital accessibility, a thoughtful and fact-based approach is needed to ensure AI is enhancing and not hindering digital access for the 1.3 billion people with disabilities around the globe. But with only
AudioEye will continue working with the disability community to fully leverage AI's potential to serve the needs of the accessibility community at scale.
Methodology
The study measured how the outputs of LLMs compare with what a human expert would produce when asked to (1) fix inaccessible HTML and (2) write developer-appropriate advice to fix the issue in the HTML. AudioEye's pilot explored a single accessibility issue: Link Purpose (WCAG SC 2.4.4 and 2.4.9), a standard that is designed to ensure that links are clear and understood by all users. Digital accessibility experts were anonymously given the results of both human and AI-generated fixes (20 total) and graded how well each fix addressed the issue. The results demonstrated up to a 10x reduction in time for AI to identify and communicate a fix to these issues. AI responses were graded slightly lower in terms of recommended fix and HTML accuracy by the human experts.
About AudioEye
AudioEye exists to ensure the digital future we build is inclusive. By combining the latest AI automation technology with guidance from certified experts and direct input from the disability community, AudioEye helps ensure businesses of all sizes — including over 103,000 customers like Samsung, Calvin Klein, and Samsonite — are accessible. Holding 23 US patents, AudioEye helps companies solve every aspect of digital accessibility with flexible approaches that best meet their needs — from finding and removing barriers to navigating legal compliance, to ongoing training, monitoring and upkeep. Join AudioEye on its mission to eradicate barriers to digital access.
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SOURCE AudioEye, Inc.
