Raising AI-Literate Children in a World Where Access to Information Has Changed

Recently, I came across a video on social media. A mother was speaking about the death of her 19-year-old son, Sam, and the conversations he had had with ChatGPT before he died. According to his mother, Sam had consulted ChatGPT about substances he was using, and one of the responses had described an unsafe use as safe.

What stayed with me after watching the video was not so much the details of the case, but a different question: As we teach children and young people how to use artificial intelligence, are we also teaching them when not to trust it?

Our relationship with information has changed

For a long time, one of the central challenges of education was access to information. Information was not as instantly or widely available as it is today. We generally encountered it through sources whose authority and origins were more visible: teachers, textbooks, encyclopedias, libraries, and academic publications.

This does not mean that everything we encountered in the past was accurate.

Misinformation and biased sources have always existed. But particularly in education, much of the information we relied on had passed through some form of editorial, academic, or institutional filtering before reaching us. We usually knew who had produced the information, where it had been published, and which institution stood behind it. The source was visible alongside the information itself.

The internet changed this relationship. Suddenly, we could access far more information from far more sources. The challenge was no longer simply acquiring information; we also had to learn how to search for it, compare sources, and decide which ones to trust.

Generative artificial intelligence is changing our relationship with information once again. Increasingly, we no longer go directly to a source to find information. We ask a question, and a ready-made answer appears in front of us.

When we search for a topic using a search engine, we encounter different kinds of sources: a university website, a news article, a forum discussion, or a scientific paper. We can see who is speaking and make choices between those sources. Generative artificial intelligence, however, presents information as a single, coherent, and often highly convincing response. The relationship between the answer and its sources can therefore become much less visible.

And incorrect information can sound just as fluent and confident as correct information. This is why, in the age of artificial intelligence, the distinction between accessing information and trusting information is becoming increasingly important.

This transformation matters particularly for children because their information habits are being formed in an entirely different environment. Previous generations often had to search, read, move between different sources, and piece information together in order to reach an answer. Today, a child can ask artificial intelligence a question and, within seconds, receive an explanation tailored to their age and level of understanding.

This offers enormous possibilities for learning. Artificial intelligence can explain something in different ways, simplify a difficult concept, and allow a child to continue learning at the very moment their curiosity arises.

But the same convenience can also remove some of the intermediate steps that once formed a natural part of finding information. Instead of locating a source, comparing different perspectives, or assembling pieces of information to reach a conclusion, a child can be presented with a complete answer immediately.

For this generation, then, the challenge is not simply gaining access to more information. It is remaining mentally active in the face of a ready-made answer. Easier access to information does not make thinking less important. On the contrary, it makes questioning, verification, and judgment even more important.

Perhaps this is why the fundamental question we need to learn to ask is no longer simply, “How do I find this information?” but “Why do I believe this information is true?”

We need to rethink artificial intelligence literacy

This is where I believe we need to reconsider what we teach children and young people about artificial intelligence. When we talk about artificial intelligence literacy today, we often focus on how to use the technology. We teach children how to ask better questions, how to use artificial intelligence for homework or research, and what different tools can do. These skills are necessary, but they are not enough. The ability children will need is not simply to use artificial intelligence, but to maintain their own judgment when faced with an

answer generated by it.

A child might ask artificial intelligence to explain a mathematics problem, but they might also ask it for advice about their health or safety. On the screen, both interactions look much the same: a question is asked and an answer appears. Yet the level of risk, the expertise required, and the consequences of an incorrect answer are not the same.

Rather than simply telling children that “artificial intelligence can sometimes be wrong,” we need to teach them which answers should be verified and when they should step away from artificial intelligence and turn to a teacher, parent, doctor, or another qualified professional.

The responsibility does not lie with children alone. Parents and schools also need to approach artificial intelligence literacy as something more than teaching children how to use a new technology. It should also mean teaching them how to think within a new information environment.

So how do we teach this to children?

Artificial intelligence literacy develops differently at different ages. That is why I have divided the guides I created for children into three age groups:

Ages 4–7: Artificial Intelligence Literacy Guide — https://www.esraobut.com/en/post/how-do-you-explain-artificial-intelligence-to-a-child-aged-4-7

Ages 8–11: Artificial Intelligence Literacy Guide — https://www.esraobut.com/en/post/how-should-we-explain-artificial-intelligence-to-children-aged-8-11

Ages 12–18: Artificial Intelligence Literacy Guide — https://www.esraobut.com/en/post/what-should-young-people-aged-12-18-learn-about-artificial-intelligence

The shared aim of these guides is not to teach children to stay away from artificial intelligence, but to teach them how to work with it. They need to learn not to accept the information it provides at face value, but to question it, trace it back to its sources, compare it with other sources, and know when to turn to a human being instead. Because artificial intelligence literacy for this generation is not simply about knowing how to use a tool. It is about knowing how to find information, how to evaluate it, and how to use artificial intelligence as part of their thinking process rather than as a replacement for it.

References

OECD. Empowering Learners for the Age of AI: An AI Literacy Framework for Primary and Secondary Education. OECD Education Spotlights, 2026.

OECD. PISA 2029 Media and Artificial Intelligence Literacy Assessment Framework. OECD.

UNESCO. Guidance for Generative AI in Education and Research. UNESCO, 2023.

UNESCO. AI Competency Framework for Students. UNESCO, 2024.

UNESCO. AI Competency Framework for Teachers. UNESCO, 2024.