Accessibility Statement for Workplace AI
This is an accessibility statement for the Workplace AI.
Measures to support accessibility
Aiimi uses the following measures to ensure the accessibility of Workplace AI:
Accessibility throughout our internal policies.
Continual accessibility training for our staff.
Clear accessibility goals and responsibilities.
Using formal accessibility assurance methods.
Build automated checks within our development process.
Conformance status
The Web Content Accessibility Guidelines (WCAG) defines requirements for designers and developers to improve accessibility for people with disabilities.
It defines three levels of conformance: Level A, Level AA, and Level AAA.
Workplace AI is partially conformant with WCAG 2.1 level AA. This means some parts of the content do not fully conform to the accessibility standard.
Additional accessibility considerations
Although our goal is WCAG 2.1 Level AA, some areas are at a higher standard and some fall short and require further work.
Feedback
We welcome your feedback on the accessibility of Workplace AI. Please let us know if you encounter accessibility barriers on Workplace AI:
E-mail: [email protected]
Our feedback form within Workplace AI
Technical specifications
Workplace AI accessibility relies on browsers, assistive technologies and plugins working with:
HTML
WAI-ARIA
CSS
JavaScript
These technologies are relied upon for conformance with the accessibility standards used.
Limitations and alternatives
Despite our best efforts, there are some limitations to accessibility of Workplace AI. Below is a description of known limitations, and potential solutions. Please contact us if you notice an issue not listed below.
Known limitations for Workplace AI:
Some graphical representations of data:
Data network diagrams have no text alternatives. This is due to limitations of the HTML canvas area where data is plotted.
We continue to work on text alternatives for all data representations.
Assessment approach
Aiimi assessed the accessibility of Workplace AI by the following approaches:
Self-evaluation - Manual and automated testing with assistive technologies and industry standard accessibility testing tools.
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