Using AI for Digital Accessibility
About the Series
Launching June 2026
This three-part series explores how public sector teams can use AI-assisted tools to evaluate, improve, and sustain digital accessibility across government websites, applications, and services.
As governments expand digital service delivery, ensuring accessibility is both a legal requirement and a core public responsibility. This series focuses on how AI-assisted tools can help public professionals identify accessibility barriers, prioritize fixes, and support ongoing compliance—while reinforcing the importance of human review, lived experience, and inclusive design.
Through practical examples and policy-aware discussion, participants examine how AI can support accessibility audits, content remediation, and continuous monitoring without replacing human judgment or community engagement. The series emphasizes responsible use, transparency, and accountability in accessibility work.
Using AI for Digital AccessibilityEvaluating Accessibility at Scale: Using AI-Assisted Tools Responsibly
This session introduces how AI-assisted tools can support accessibility evaluations across large digital ecosystems. Participants will explore how automated testing works, what it can and cannot detect, and how to combine AI tools with manual review to meet ac…
Using AI for Digital AccessibilitySustaining Accessibility: Governance, Accountability, and Continuous Improvement
This session explores how agencies can embed accessibility into ongoing digital operations. Participants will examine governance models, policy frameworks, and monitoring practices that use AI-assisted tools to support continuous improvement while maintaining…
Using AI for Digital AccessibilityFrom Findings to Fixes: Improving Accessibility in Public Digital Services
This workshop focuses on turning accessibility insights into action. Participants will examine how AI-assisted tools can help prioritize issues, suggest remediations, and support content updates—while ensuring fixes are validated through human testing and incl…