Nirho
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Nirho
@nirho.bsky.social
120 followers 330 following 110 posts
Private Pilot, Digital Accessibility consultant. www.NirA11y.com
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Reposted by Nirho
Surf Etiquette & Rules

1. Give right of way to the surfer that has waited the longest, is closest to the peak or is the first on their feet onto the wave.
2. Communicate. Call “left!” or “right!” if the wave is dual-peaking.
3. Don’t drop in or cut in front of other surfers.
This builds on the foundational four motivations: market expansion, product improvement, legal compliance, and ethical imperatives.
What examples have you observed of companies successfully leveraging inclusive design for brand advantage?
Strategic opportunity:
While competitors treat accessibility as compliance overhead, forward-thinking organisations position it as competitive differentiation and authentic brand storytelling.
Domino's Pizza fought accessibility compliance through six years of litigation rather than addressing basic website barriers. Result: significant reputational damage and legal costs.
Case examples:
@Apple positions accessibility features as innovation showcases, demonstrating technology enabling creative expression. Result: brand differentiation and market leadership in inclusion values.
Conversely, companies fighting accessibility face legal costs, reputational damage, and lost market share.
You cannot remain neutral on accessibility. Your brand is either:

Champions of inclusion
Barriers to access

Companies embracing accessibility gain loyal advocates from the disability community (17% of global population) plus socially conscious consumers.
Thread: The accessibility motivation that determines brand positioning
In my latest post, I explore the fifth motivation for digital inclusion: brand perception operates on a strict binary.
#Accessibility #BrandStrategy #InclusiveDesign #BusinessStrategy #MarketResearch #a11y
I don't know any serious tools claiming full AI accessibility audits yet.
But good tools with partial WCAG coverage exist and they're improving fast.
The bad tools making false claims? Yeah, those exist too.
8/9
The goal isn't blind trust in AI. It's:

Making AI tools better, faster
Integrating them into workflows
Catching issues that would never be found manually
Scaling accessibility to internet size
7/9
We're at the same moment with web accessibility.
Waiting for perfect AI = keeping the web broken for millions of people with disabilities.
Using improving AI = potential biggest accessibility breakthrough ever.
6/9
Think about the self-driving car debate:
People worry about AI edge cases while humans crash constantly from texting, drinking, fatigue.
Tesla's already much safer than human drivers. Not perfect, but better.
5/9
www.tesla.com/VehicleSafet...
www.tesla.com
What really excites me: every time we correct an AI mistake, it gets better for EVERYONE using that system.
That's accessibility at scale. Not one site at a time, but millions of sites.
Same challenge I worked on at Wix.
4/9
Reality check: Most websites NEVER get accessibility audits at all.
So AI tools that are "only" 95% accurate could help way more people than perfect human audits that only happen on a tiny fraction of sites.
3/9
Here's what I've been thinking about:
AI isn't perfect, but it's improving incredibly fast. Human accuracy? Pretty much stays the same.
And honestly? Humans make plenty of mistakes too - we just don't talk about them as much.
2/9
🧵 "Can we trust AI to be 100% accurate for accessibility audits?"
This comes up in every AI + accessibility conversation I have.
Short answer: No. But that's the wrong question.
#WebAccessibility #AI #DigitalInclusion #WCAG #AccessibilityAudits #a11y #accessibility #AI #Scale
1/9
Reposted by Nirho
Your beach day isn’t just about the sun. 🌴
With Beaches App, you’ll know:
❌ When water quality is unsafe
☀️ When UV is too high
👥 How crowded the beach is
Plan smarter. Swim safer. 🌊

#BeachesApp #BeachDay #Beach #Ocean
Wrote about this in Part I of my A11M series on accessibility and LLMs: open.substack.com/pub/nira11y/...
Curious about your thoughts on accessibility in an AI-mediated web.
#Accessibility #AI #WebAccessibility #LLM #a11y
A11M - Part I
on A11y and LLMs
open.substack.com
I'm not suggesting accessibility becomes less important, but trying to understand what it means when websites become information repositories accessed mainly through AI. Should WCAG and other guidelines adapt?
Now LLMs can browse and extract information from websites for us, even from inaccessible ones. If users primarily access web content through AI chat rather than visiting sites directly, what does this mean for accessibility?
We've spent years solving accessibility for web innovations: alt text for images, captions for videos, reduced motion for animations. Yet 95% of websites still have accessibility barriers.
Chat interfaces take us back to the web's text-based origins. The content written in those early days can be fully consumed with any screen reader, operated with keyboard navigation, and is actually fully accessible according to any standard we have today.