WCAG Compliance: Make Your AI Tools Accessible to Everyone

When we talk about WCAG compliance, a set of international guidelines for making digital content usable by people with disabilities. Also known as Web Content Accessibility Guidelines, it's not a checklist for lawyers—it's the foundation of human-centered AI. If your AI tool can't be used by someone who's blind, deaf, or has limited motor control, it's not truly helpful. It's broken. And right now, most AI interfaces are broken.

Think about voice assistants that don't understand non-standard speech patterns, chatbots that rely entirely on visual buttons, or AI-generated images that lack alt text. These aren't edge cases—they're everyday barriers. Inclusive design, the practice of building products that work for the full range of human diversity isn't optional when AI touches real people. The same goes for ADA compliance, the legal standard in the U.S. that requires digital services to be accessible. Courts are already ruling against companies whose AI tools exclude users with disabilities. And it's not just about lawsuits—accessibility improves usability for everyone. Captions help in noisy offices. keyboard navigation helps when your mouse fails. Clear language helps non-native speakers. WCAG compliance isn't about charity. It's about smart engineering.

What you'll find in these posts isn't theory. It's real work. You'll see how teams are fixing AI hallucinations that mislead screen readers, how they're testing LLM outputs with actual users who have visual impairments, and why even the most advanced models fail if they ignore basic contrast ratios or semantic heading structure. These aren't niche concerns. They're the difference between an AI tool that gets used and one that gets ignored. If you're building, deploying, or managing AI systems, you're already responsible for accessibility. The question isn't whether you should care—it's whether you're ready to do it right.