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AI integrations #2
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We've implemented a domain scanner based on HTML Codesniffer here : https://github.com/openfed/AccessibilityCheckServer So further optimisation will almost certainly be required after this proof-of-concept project to make it available for production use (either that or reserving an entire Amazon datacenter perhaps...) |
Thanks for the evinced link BTW, looking into it. |
Thanks @bdeclerc I'll check out your scanner. AI is a real challenge as most approaches require a lot of data as well as considerable processing power to be effective. Hopefully it won't take a whole datacentre, but yes :) I think that currently the goal of AI is to help find automated means to find accessibility errors that are caught by people. It is probably a better goal to help find things that people aren't particularly good at. I'd love AI to start looking at dividing up and organizing errors so that they can be better addressed. Can we find errors that are caused by the theme, a module or the CMS? Is it possible to identify common problems across a department or agency, that might be due to some out-of-date training material? Can we limit the errors we show to teams to those they have the power to change? Is it possible to link up to existing issue queues in modules/themes used to search for related issues? Are we able to see what changes in human behavior are making an impact? In anycase, we are looking forward to seeing if there are elements that can be replicated on this side of the pond. |
You've integrated what you plan to accomplish here - https://radix.ai/cases/putting-the-ai-into-accessibility/#the-briefing
Leveraging axe or HTML Code Sniffer will get you some of the way. I'm trying to learn how you plan to incorporate machine learning into this mix.
Tools like this can easily scan domains https://github.com/MSU-NatSci/DomainAccessibilityAudit
Extending this though to look for those issues which axe can't easily catch is a challenge.
Would be interesting to see how your efforts compare with https://www.evinced.com/
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