AFixt Accessibility + Fixed
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Deep Dive into WAI-ARIA
Advanced WAI-ARIA course covering roles, states, properties, and design patterns for custom accessible components—menus, dialogs, carousels, sliders, tables, and live regions. Prerequisites: Accessibility Basics, Accessible Web Development, and JavaScript proficiency.
Data-driven accessibility auditing course covering automated scanning, manual verification, prioritized reporting, and remediation tracking—integrated into development workflows. Prerequisites: Accessibility Basics (or CPACC) and Accessible Web Development.
Automation as Prevention
Automated accessibility testing prevents costly issues by catching problems early, measured by "Time to Bug." This session explores automation's business value in accelerating compliance and reducing remediation costs.
Many accessibility business cases lack credible metrics or measurable ROI. This session defines what decision-makers actually care about and compares real costs across inaction, proactive fixes, and litigation-driven remediation—essential for justifying accessibility budgets.
Organizations typically discover accessibility issues after launch, leaving teams unsure where to prioritize fixes. This session offers practical frameworks for sorting remediation work by user impact and repair effort, plus strategies for tracking progress over time—essential for converting audit reports into actionable plans.
Data Mining Accessibility
Preventing accessibility issues beats fixing them after deployment—and data-driven technology selection makes this possible. By analyzing accessibility metrics across websites and their underlying technologies, organizations can identify error patterns and risk factors before adoption, enabling informed decisions that reduce costly audits and remediation. This research examines large-scale data to reveal how specific technologies impact accessibility outcomes, helping teams avoid predictable barriers before they become embedded in their systems.
Vibe Coding Accessibility
AI coding tools like GitHub Copilot and ChatGPT are reshaping accessibility practices, offering developers both opportunities and risks. This session evaluates how well these platforms generate accessible code, whether they can remediate inaccessible patterns, and what blind spots remain. Through real-world examples of accessible products built with AI assistance, attendees will gain practical guidance on leveraging these tools effectively while avoiding common pitfalls that exclude users with disabilities.