A UK charity called Screen Share just received funding to teach AI literacy to refugees. And the way they are doing it is a lesson for every school in the country.
They are not building a new curriculum from scratch. They are not hiring an AI specialist. They are taking their existing digital skills programme and reviewing it to find where AI literacy already fits inside what they already teach.
Find the connections. Build the activities. Train the people. That is the model.
Why this matters beyond the refugee context
Screen Share's founder, Moses Seitler, said AI can offer "personalised support that helps refugees navigate unfamiliar systems and environments with confidence, from completing essential forms and learning new languages to accessing local services and exploring employment opportunities."
That is AI literacy described as a life skill. Not a technical skill. Not a career skill. A basic skill for functioning in a world where AI is already embedded in the forms you fill in, the services you access and the job applications you submit.
If AI literacy matters that much for someone rebuilding their life in a new country, it matters just as much for the students sitting in your classroom right now. They are entering the same world. The same systems. The same job market.
The bit schools should steal
Screen Share is not adding AI literacy as a separate module that sits outside everything else. They are going through their existing curriculum, skill by skill, and asking: where does AI change this? Where does AI connect to what we already teach? Where can we add an AI literacy layer without throwing out what already works?
That is exactly how it should be done in schools.
A Maths teacher already teaches estimation and probability. That connects directly to how AI systems make predictions. An English teacher already teaches students to evaluate the reliability of a text. That connects to evaluating AI-generated content. A Geography teacher already uses data visualisation. That connects to how AI systems present and sometimes distort information. A D&T teacher already teaches iterative design. That connects to how computational engineering works in industry.
The connections exist. In every subject. In every key stage. Screen Share proved you do not need to start from zero. You need a structured way to look at what you already teach and see where AI literacy lives inside it.
From one curriculum to every curriculum
Screen Share is doing this for digital skills training. But the principle applies everywhere. Any curriculum can be reviewed through an AI literacy lens. Any subject can reveal connections that were always there but never made explicit.
That is what AILitKit does. It takes the same approach Screen Share is using and makes it available for every teacher in every subject. Upload your lesson. 1 minute later you have four AI literacy activities, coaching notes and support, challenge and differentiation. Ready for your next class.
No AI expertise needed. Just the lesson you were already going to teach.
Screen Share showed the model works. Schools can do the same thing, subject by subject, lesson by lesson. Starting whenever they are ready.
Matthew Wemyss is the founder of AILitKit and IN&ED, and author of AI in Education: An Educator's Handbook.