AI doesn’t fix broken processes—it accelerates them. If accessibility is already part of the workflow, AI can help teams scale inclusion. If it isn’t, AI will scale the barriers teams are already shipping.
As AI accelerates software development, it also accelerates the creation and spread of accessibility issues. This session explores practical strategies for embedding accessibility throughout the software development lifecycle—from planning and design to coding, code review, CI/CD, release, and customer feedback.
Attendees will learn why accessibility debt grows exponentially when discovered late in the process, how AI coding tools inherit accessibility challenges from the web they were trained on, and what organizations can do to improve outcomes. Through real-world examples of accessibility automation, AI-assisted remediation, and GitHub’s open-source Accessibility Scanner, participants will see how deterministic testing, AI tooling, and human expertise can work together to identify, prioritize, and resolve accessibility issues earlier in development.
Whether your team is building AI products or using AI to build software, you'll leave with practical approaches for integrating accessibility into existing workflows so innovation scales inclusion—not exclusion.
