Fixing Accessibility After the Fact Is Too Late

As AI accelerates how software and content are created, accessibility risks emerge earlier and propagate faster than traditional testing and remediation can handle. This panel explores what “shifting left” means in the age of AI, from evaluating foundation models and code generation for accessibility, to embedding inclusive intent directly into design and development workflows.

Together, we discuss how AI-assisted design tooling, automated scanning, and remediation in engineering pipelines can work together to prevent defects before they ship. Drawing on internal and external perspectives, the session presents a closed-loop view of accessibility that spans creation, evaluation, and remediation at AI speed.

The full transcript is available via the text version linked above.