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AI Literacy: Knowing how to use AI isn’t enough

Updated: 19 hours ago


AI is becoming remarkably easy to use. A student can ask a chatbot a question, generate an image, summarize a page of information, brainstorm an idea or create a presentation in seconds.


Being able to use AI is not the same as understanding how to use it well. And that distinction matters.


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Listen to this article about AI literacy - Knowing how to use AI isn't enough


Amanda Bickerstaff, CEO of AI for Education, speaks at Academic Magnet High School during the Charleston County School District Charleston Educator Symposium, Wednesday, July 22, 2026, in North Charleston, S.C. (AP Photo/Mic Smith)
Amanda Bickerstaff, CEO of AI for Education, speaks at Academic Magnet High School during the Charleston County School District Charleston Educator Symposium, Wednesday, July 22, 2026, in North Charleston, S.C. (AP Photo/Mic Smith)

Recently, during an AI literacy training session for educators in South Carolina, an instructor asked an AI tool to do something seemingly straightforward:


"Create a map of the world".


It did.


Except Mali became “Mail.”Egypt became “Sopth.”Libya was incorrectly labeled. And several other labels were simply gibberish.


At first glance, it is an amusing example of AI getting something very wrong.

But it demonstrates something young people increasingly need to understand:

AI can produce something that looks convincing without necessarily being correct.



AI literacy is more than prompting


Much of the conversation around teaching children to use AI currently focuses on practical skills.


How to write a good prompt. How to generate an image. How to summarize information. How to research a topic. How to choose the right AI tool. These are useful skills, and young people will increasingly need them.


But we believe they are only part of AI literacy.


Knowing how to operate an AI system is one thing.

Knowing how to question what it produces is another.


According to reporting by the Associated Press, 37 U.S. states have published official guidance for schools on artificial intelligence.


The educational conversation is beginning to move beyond simply asking:

Should students be allowed to use AI?

We now need to ask:

What do young people need to understand in order to use AI responsibly, critically and confidently?


A boy working on laptop. What do young people need to understand in order to use AI responsibly, critically and confidently?


Teaching children to question the output


True AI literacy should help young people develop the habit of asking questions such as:

  • Could this answer be wrong?

  • How could I verify it?

  • Where might this information have come from?

  • What information am I giving the AI system?

  • What are the limitations of this tool?

  • Is AI actually the right tool for this task?

  • When should I do the thinking myself?


Rebecca Winthrop of the Brookings Institution makes an especially important point in the Associated Press article:

"part of AI literacy is knowing when not to use AI".

That may become one of the most important skills we can teach. Because the goal shouldn't be to raise a generation that automatically turns to AI whenever they encounter a problem.

It should be to raise a generation capable of deciding when AI can help, when its output needs to be questioned, and when human judgment should lead.



Preparing young people for an AI-enabled world


The capabilities of these systems will continue to improve. AI will increasingly be able to help students research, write, calculate, design, code, analyze and create. But greater capability does not remove the need for understanding. It increases it.


If AI writes the report, can the student recognize when the argument doesn't make sense?

If AI provides the research, can they determine whether the information is trustworthy?

If AI generates the numbers, do they understand what those numbers mean?

If AI recommends a solution, can they decide whether it is actually a good one?


These are not simply technical skills.


They require critical thinking, curiosity, judgment, responsibility and confidence.

And those human capabilities need to develop alongside AI skills.


Student working on a project using critical thinking, curiosity, judgment, responsibility and confidence.


What AI literacy means at Young Steward


At Young Steward, we don't want young people to simply become good users of AI.

We want them to understand the technology they are growing up alongside. That means learning how to use AI as a tool while also developing the ability to question it, challenge it, verify it and make responsible decisions about when and how it should be used.


  1. Young people should understand that AI can be incredibly useful without assuming that it is always right.

  2. They should be comfortable using powerful new tools without becoming dependent on them.

  3. And they should recognize that even when technology provides an answer, humans remain responsible for deciding what to do with it.


Because knowing how to prompt AI is a skill. Knowing how to live, learn, create and make good decisions alongside it is literacy.

As parents and educators, perhaps the question we should be asking isn't simply: Are we teaching young people how to use AI?

It is: Are we preparing them to understand it well enough to use it wisely?


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