Real-World Experiences Make AI Literacy Meaningful

Schools are moving quickly to define AI literacy.

Students need to understand how AI works. They need to know how to write better prompts, evaluate outputs, recognize bias, protect privacy, and use these tools responsibly. All of that matters.

But after my recent conversation with Houston ISD Superintendent Mike Miles, I’m beginning to think AI literacy may require something deeper.

Students do not simply need to learn how to use AI. They need to learn how to direct it.

AI Literacy Requires Human Experience

Houston ISD’s Future2 initiative includes direct instruction in AI. Students learn how to frame problems, ask stronger questions, iterate prompts, and use AI tools. By high school, they may pursue coursework focused more specifically on AI and related technologies. But AI is not the predominant experience.

Students also play chess, visit museums, travel, volunteer, camp, dine in restaurants, perform music, play sports, navigate escape rooms, and work through collaborative challenges. Those experiences are intentionally connected to competencies such as communication, teamwork, decision-making, emotional intelligence, perspective, and problem-solving.

At first, those may appear to be two separate parts of the curriculum. One develops AI literacy. The other develops human qualities. I don’t think they are separate at all.

The real-world experiences may be what make meaningful AI literacy possible.

Using AI Is Not the Same as Directing It

A student can become technically skilled with AI without becoming more capable.

• They may know how to generate an answer without knowing whether the answer is good.

• They may know how to produce an argument without having developed a point of view.

• They may know how to create polished language without becoming a stronger communicator.

• They may know how to ask a tool for a decision without having the judgment to decide whether that decision should be followed.

  
  

That is the difference between using AI and directing it.

Technical literacy asks: Can the student operate the tool?

Human literacy asks: Does the student have enough knowledge, judgment, purpose, and self-awareness to decide what the tool should be used for?

Schools need to develop both. Otherwise, students may become fluent in AI without continuing to develop the very abilities it is supposed to support.

AI Amplifies What Is Already There

We often talk about AI as though it automatically makes people more capable.

It does not.

AI doesn't create human qualities. It amplifies them.

• It can amplify curiosity, but it can also replace the effort of being curious.

• It can amplify communication, but it cannot teach someone to listen.

• It can amplify creativity, but it cannot replace the experiences that give someone something worth creating.

  
  

Before students can use AI to amplify their abilities, schools have to help them develop abilities worth amplifying. That is why the Future2 experiences matter.

An escape room teaches students to navigate the pressure of making decisions with other people. Travel gives them unfamiliar contexts, perspectives, and social expectations. Sports and performance require practice, resilience, responsiveness, and trust.

These experiences give students the human reference points they need to evaluate what AI produces, and decide what to do with it.

The Goal Is Agency

During our conversation, I found myself trying to describe the philosophy underneath the model. What I heard was not a school surrendering to AI or building the student experience around it.

I heard an attempt to prepare students to understand AI, manage it, and use it to elevate who they already are.

Miles described the goal as developing students’ human value: their capacity to work with others, communicate, engage in society, respect relationships, and remain part of the important decisions in an AI-enabled world. He argued that schools must teach AI tools while also doubling down on the qualities that give people a competitive and human advantage.

That word—agency—may be the most important outcome of AI literacy. Agency means a student can use the tool without becoming dependent on it. They can accept assistance without surrendering responsibility.

The purpose of AI education should be to help students own and manage AI in ways that elevate their distinct human qualities.

The Question Schools Should Ask

The debate around AI in education often gets pulled toward two extremes.

At one end, schools try to keep AI away from students. At the other, they rush to build learning around AI because it will shape the future. Both approaches begin with the technology.

A better starting point may be the student. What qualities will students need to retain control of their thinking, choices, relationships, and contributions in an AI-enabled world? Then we can ask what role AI should play in developing and extending those qualities.

The question is not simply whether students will know how to use AI. They will.

The more important question is: Will they become the kind of people capable of

directing it?

Continue the conversation

If this article sparked a new way of thinking, you'll find more original perspectives, conversations, and insights at InflectionED.com.

Listen to my full conversation with Superintendent Miles on Education Talk Radio.