Students can't assume everything they see online is real anymore.
AI can create convincing images, videos and voices in seconds, and deepfakes and students are becoming an increasingly important online safety issue for schools.
A student might see a screenshot, video or audio recording and assume it is genuine because it looks or sounds convincing.
But what if it isn't?
That's why AI literacy needs to include more than teaching students how to use Copilot or ChatGPT.
Students need the critical thinking skills to question what they see before they believe it, act on it or share it.
AI can create convincing fake content
Generative AI has made it increasingly easy to create realistic-looking content.
That can include:
fake screenshots
fake conversations
AI-generated images
manipulated videos
synthetic voices
fabricated social media posts
The technology itself isn't necessarily the problem.
The problem is that students can encounter this content without immediately knowing whether it is real.
And the more convincing AI-generated content becomes, the harder it can be to rely on appearance alone.
Why deepfakes matter in schools
When people hear the word "deepfake", they often think about major political misinformation or celebrity videos.
But students can encounter much more personal forms of manipulated content.
AI-generated or manipulated content can potentially be used to:
humiliate classmates
damage someone's reputation
create conflict between friends
spread rumours
make false claims appear believable
cause people to react before checking the facts
This is where deepfakes become an online safety and digital wellbeing issue, not simply a technology issue.
Students need to understand the potential consequences of creating, sharing and believing manipulated content.
The problem with "it looks real"
For years, one piece of digital literacy advice was essentially:
Look carefully.
But that's becoming less useful on its own.
AI-generated content can look remarkably convincing.
A fake image doesn't necessarily have obvious visual mistakes.
A synthetic voice can sound like someone you know.
A manipulated video can appear to show something that never happened.
A screenshot can be fabricated.
That means students need a different skill:
Don't just look. Question.
Teach students to stop before they believe or share
One of the most useful things schools can teach is a simple pause.
Before students believe or share something, encourage them to ask:
Who created this?
Where did it come from?
Is there an original source?
Can I find the same information somewhere else?
Who is sharing it and why?
Does the evidence actually support the claim?
Could this have been generated or manipulated by AI?
These questions don't guarantee that students will identify every deepfake.
They do something more important.
They build a habit of questioning.
Deepfakes require more than digital literacy
Traditional digital literacy has often focused on skills such as navigating websites, identifying reliable sources and protecting personal information.
Those skills still matter.
But AI-generated content adds another layer.
Students need to understand that content can be synthetically created or manipulated and that something looking professional doesn't automatically make it trustworthy.
This is why AI literacy and critical thinking are increasingly connected.
Students need to become comfortable with saying:
"I'm not sure."
Then investigating before making a decision.
AI literacy isn't just about prompts
When schools discuss AI literacy, the conversation can easily become focused on productivity.
How do students write a good prompt?
How can they use AI for research?
How can they use AI responsibly for assignments?
Those are useful skills.
But students also need to know how AI is changing the information environment around them.
They need to understand AI-generated images.
They need to recognise that videos and audio can be manipulated.
They need to question screenshots and social media posts.
They need to understand misinformation.
And they need to know that an AI-generated piece of content can be designed to look completely believable.
That's a much broader form of AI literacy.
What can teachers do?
Teachers don't need to turn every lesson into a deepfake lesson.
There are simple ways to build these skills into existing classroom conversations.
When students encounter an interesting image, ask where it came from.
When a claim is shared online, ask students to find the original source.
When a video makes a surprising claim, ask what evidence supports it.
When students encounter AI-generated content, discuss the clues that might raise questions about its authenticity.
Most importantly, don't just give students a list of signs to look for.
Teach them to investigate.
Because AI technology will keep changing, and the clues that work today may not work tomorrow.
Critical thinking is the more durable skill.
Students need a critical thinking toolkit
The goal isn't for students to become experts at spotting every AI-generated image.
That's becoming an unrealistic expectation as the technology improves.
The goal is to help them develop a process for evaluating information.
Stop.
Question.
Check.
Think.
Then decide.
That process can apply to a deepfake, a social media post, an AI-generated article, a screenshot, a video or something a friend has sent them.
It helps students become more thoughtful consumers of online information.
This is what AI literacy needs to look like
Teaching students how to use AI is important.
But teaching them how to question AI-generated content may be even more important.
Students are growing up in an information environment where seeing something no longer guarantees that it happened.
They need to know how to navigate that world.
Not by being told to fear everything online.
Not by assuming everything is fake.
But by developing the critical thinking skills to ask better questions and make informed decisions.
That's what I explore through Truth or Algorithm, my practical and interactive student presentation.
Students learn how to question what they see online, recognise red flags and become more critical consumers of digital content.
Because as AI gets better at creating convincing content, simply telling students to "be careful online" isn't enough.
They need to know how to think before they believe or share.
