Tim Scannell Accessibility Consultant

Why Deaf Children Are Still Being Left Behind

Every child deserves the opportunity to thrive.
Yet for many Deaf children, the biggest barrier isn't deafness.
It's communication.

The early years of a child's life are when language develops fastest.

If a Deaf child cannot fully access language—whether through British Sign Language (BSL), spoken language with appropriate support, or both—they can miss vital opportunities to learn, communicate and build relationships.

This is often referred to as language deprivation.
It's not caused by being Deaf.
It's caused by not having full language access .

Many families work incredibly hard to support their Deaf children, but they often face long waits for services, limited specialist support and difficult decisions about communication.

Schools, health services and local authorities are all working under pressure, yet delays in identifying and supporting Deaf children can have lasting effects.

Every Deaf child is different.
Some use BSL.
Some use spoken English.
Some use both.

What matters is that every child has early access to language in the way that works best for them.
This isn't simply an education issue.
It's about giving every child the opportunity to communicate, learn and reach their full potential.

Over the coming weeks, I'll continue exploring The Invisible Deaf Crisis, looking at the communication barriers that still exist across education, healthcare, employment and everyday life.

Because the real crisis isn't hearing.
It's communication.
🌐 www.timscannell.co.uk

We hear many claims about AI.

But one question matters more than any other.
Where is the evidence?

A good demonstration can be impressive.
But it doesn't prove that a system works well in everyday life.

People sign differently.
Lighting changes.
Backgrounds change.
Regional signs vary.
Real life is much more complex than a controlled demo.

If an organisation is thinking about using sign language AI, it should ask simple questions.
• Has it been tested with Deaf users?
• Has it been used in real-world situations?
• Are the limitations explained clearly?
• Can users report problems?
• Is the system regularly improved?

These questions don't slow innovation.
They help build trust.

For me, success is about more than accuracy.

It's about whether AI helps people communicate with confidence.
Whether it improves accessibility.
And whether Deaf communities are involved throughout the process.
Accessibility deserves more than promises.
It deserves evidence.

That's the focus of my latest blog.
🔗 Read the full article: https://www.timscannell.co.uk/blog

What evidence would give you confidence to use sign language AI?

I know this may spark debate, but I believe it is a conversation worth having.

First, let me be clear.

The current 999 BSL service is essential. Qualified BSL interpreters provide a vital service, helping Deaf people access emergency support when they need it most.

This post is not about criticising that service or the professionals who deliver it.

It is about asking a longer-term question.

What should emergency communication look like in 10 or 20 years?

The FCC in the United States is exploring whether Deaf people should have the option of communicating directly with signing emergency call handlers through Direct Video Calling (DVC), without a relay interpreter.

That made me wonder:
Should the UK begin the same conversation?

If so, it should involve Ofcom, emergency services, Deaf organisations, BSL users, technology providers and policymakers from the very beginning.

This is not about replacing interpreters.

It is about exploring whether Deaf people should also have the choice of direct communication in British Sign Language where appropriate.

Direct communication has the potential to improve:
Speed
Privacy
Trust
Communication accuracy
User experience

AI may also play a supporting role in the future by routing calls, identifying communication preferences and assisting emergency services. However, AI should never replace human BSL communication in life-critical situations.

The real challenge is not the technology.

It is leadership, governance, workforce planning and investment.

Accessibility should continue to evolve.

Perhaps it is time for the UK to begin this conversation.

What are your thoughts?

The Invisible Deaf Crisis

Most hearing people think deafness is about hearing.
It isn't.
The real crisis is communication.
Communication affects every part of life.

A child learning at school.
A patient visiting hospital.
A job interview.
An emergency.
A conversation with family or friends.

When communication isn't accessible, opportunities are lost before they even begin.

The good news?
Communication barriers can be removed.
Accessibility isn't just about ramps or subtitles.

It's about making sure everyone has an equal opportunity to understand, contribute and belong.

This image represents what I believe.
One person signs.
Everyone watches.
Everyone understands.
That's inclusion.

Over the next few weeks, I'll be sharing a series called The Invisible Deaf Crisis, exploring topics including:
SEND and education
Healthcare
Employment
AI and accessibility
Emergency communication
Deaf sport
The legacy of Milan 1880

My aim isn't to criticise.

It's to start conversations that lead to positive change.

Because better communication benefits everyone, not just Deaf people.
If your organisation would like to improve communication and accessibility, I provide practical Deaf Awareness training, including:

✅ 1-hour awareness sessions
✅ Half-day workshops (3 hours)
✅ Full-day training

🌐 www.timscannell.co.uk
Better communication. Better understanding. Better opportunities. Better world.

AI-powered sign language avatars are an exciting step forward, but trust must come first.

This article caught my attention today:
🔗 https://europeantimes.news/2026/07/sign-language-ai-avatar-showcased-at-eu-parliament/

I welcome the European Parliament's discussion on how AI can improve accessibility while protecting dignity and fundamental rights.

Innovation matters.

But trust, transparency, evidence and Deaf leadership matter just as much.

One small but important terminology point.

The article refers to an "AI Avatar."

Technically, the avatar itself is not AI.

The avatar is the visual interface. The AI operates behind the scenes, processing language, generating responses and driving the interaction. A more accurate description is:
"An AI-powered sign language avatar."

As Europe develops sign language AI, I hope future projects publish evidence such as:
• Which quality standards were used?
• What level of accuracy was achieved?
• Which real-world situations has it been tested in?
• Which independent Deaf experts evaluated the signing?
• Which Deaf organisations were involved in governance and decision-making?
• How will users report linguistic or accessibility issues?

There is also an important difference between Deaf participation and Deaf leadership.

Consulting Deaf people or collecting sign language data is valuable.

However, true inclusion means Deaf people helping shape governance, ethics, evaluation, accountability and long-term direction from the very beginning.

Accessibility should be measured not only by impressive demonstrations, but also by:
✅ Deaf leadership
✅ Independent evaluation
✅ Transparency
✅ Evidence
✅ Accountability

Publishing this information would move the conversation from:
"Look what AI can do."
to
"Here is the evidence that it is safe, trustworthy and genuinely accessible."

I would welcome an open conversation between the European Parliament, researchers, AI developers and Deaf organisations about building trustworthy sign language AI together.

Nothing about us without us.

Sign-Language AI Avatar Showcased at EU Parliament | The European Times A Brussels event showcased an AI sign-language avatar and examined accessibility, precision medicine and fundamental-rights safeguards.

Everyone is talking about what sign language AI can do.
But I think we should start asking a different question.

Can we trust it?
Trust doesn't come from a good demo.
It doesn't come from marketing.
It has to be earned.

That's why I created the Sign Language AI Trust Framework.
It isn't a certification or a way to rank companies.

It's a simple framework to help organisations ask better questions before using sign language AI.

The framework has five pillars:
✅ Transparency
Be honest about what AI can and cannot do.

✅ Deaf leadership
Develop AI with Deaf people, not just for Deaf people.

✅ Accountability
Someone must take responsibility when things go wrong.

✅ Evidence
Claims should be backed by real testing and feedback.

✅ Inclusion and safeguards
AI should give people more communication choices, not fewer.

Good AI is not just about technology.
It's about people.
It's about language.
It's about culture.
And it's about trust.

I hope this framework starts more conversations about how we build responsible sign language AI together.

🔗 Read the full blog: https://www.timscannell.co.uk/blog

https://www.timscannell.co.uk/post/building-trust-in-sign-language-ai-the-sign-language-ai-trust-framework

Which of these five pillars do you think is the most important, and why?

Artificial intelligence is advancing at an unprecedented rate .
But when we talk about sign language AI, I believe we're asking the wrong question.

The question isn't:
"How good is the technology?"
The better question is:
"What are we trying to protect?"

Sign languages are far more than a way to communicate.

They carry culture, identity, history, humour and community.

AI has enormous potential to improve accessibility, support learning and remove barriers. But its success shouldn't be measured only by how realistic an avatar looks or how quickly a translation is produced.

It should also be measured by whether it helps preserve the richness and diversity of sign languages.

Technology should learn from Deaf communities—not the other way around.

That has been the central message throughout my five-part blog series on AI and sign languages.

My hope is that future innovation will be guided by trust, evidence, collaboration and respect for the communities these technologies are designed to support.

Because protecting sign languages isn't about resisting innovation.

It's about ensuring innovation strengthens language, culture and community for generations to come.

What do you think is the biggest responsibility for AI developers working with sign languages?

🔗 Read the full blog: https://www.timscannell.co.uk/blog

Thought leadership: Building Trust in Sign Language AI - Tim Scannell outlines how transparency, accountability and Deaf leadership should shape AI solutions across education, healthcare and public services. Quick 2-minute read:
https://www.timscannell.co.uk/post/building-trust-in-sign-language-ai

https://wix.to/utJizYs

Last year, the question was:
"Can AI generate sign language?"

Today, I believe the question has changed:
"How do we govern its use responsibly?"

As AI sign language technology continues to improve, the conversation is shifting from capability to trust, quality assurance, accountability, and Deaf involvement.

Technology can be developed in months.
Trust can take years to build.

I've shared my latest thoughts in a new blog:
🔗 www.timscannell.co.uk/post/ai-governance-for-sign-language

The journey of sign language AI isn't just about better technology. It's about building trust.

Over the past year, I've researched the sign language AI ecosystem from different perspectives.

I've explored:
The AI landscape
AI maturity
Governance
Evidence
Responsible adoption

Looking back, I realised they're all describing the same journey.
Capability → Reliability → Trust → Adoption → Everyday Accessibility

Many AI systems can now demonstrate technical capability.
But capability alone doesn't create confidence.

For Deaf people and organisations to rely on sign language AI in everyday life, we also need:
Real-world evidence
Deaf involvement
Transparent evaluation
Responsible governance
Continuous improvement
Technology may open the door.
Trust is what allows people to walk through it.

I'd be interested to hear your thoughts.
Where do you think sign language AI is today on this journey?