AI literacy is the ability to understand what artificial intelligence is, critically evaluate the results AI produces, and use AI in a way that fits your purpose. The key isn't simply using ChatGPT—it's understanding how AI learns and makes decisions, and what AI's limitations and biases are. At AI Literacy Academy CIT, a 5-minute walk from Apgujeong Station, we provide tailored AI literacy education from elementary through high school, with students placed by a level-based placement test.
Published: March 12, 2026 | Last updated: March 12, 2026
AI literacy refers to the comprehensive ability to understand the basic concepts and principles of artificial intelligence, critically evaluate the outputs AI generates, and use AI technology skillfully and effectively. Just as reading and writing literacy is a foundational skill in a text-based society, AI literacy is an essential foundational skill for living in the age of AI.
AI literacy is made up of four broad areas. First, understanding what AI is and how it works— conceptual understanding. Second, verifying AI's results rather than accepting them uncritically— critical evaluation. Third, selecting and using AI tools to fit your purpose— practical use. Fourth, recognizing the technical applications and system design issues of AI— system design awarenessIt is.
What AI is, how AI differs from programming, and exploring everyday examples of AI. We analyze the AI that students encounter daily, such as recommendation algorithms, speech recognition, and image recognition. Students can start from 3rd–4th grade.
Students use generative AI tools like ChatGPT, DALL-E, and Teachable Machine directly, and come to understand how each tool works and its limitations. They practice verifying the accuracy of AI outputs and evaluating them critically.
Students learn the role data plays in how AI is trained. They learn about data collection, labeling, and the relationship between training data and bias, and train a simple classification model themselves.
Students carry out real projects using the AI literacy they've learned. They create creative deliverables—problem-solving with AI, writing AI system design reports, planning AI services—and connect them into a portfolio.
AI is already deeply embedded in our daily lives. YouTube recommendations, Naver search, smartphone facial recognition, and translation apps are all AI technology. Without understanding AI, you end up accepting the information it provides uncritically and being swayed by the biased results it produces. AI literacy is the essential skill for judging and using information correctly in an age like this.
The importance of AI literacy is growing in education policy as well. Starting in 2025, AI-related content is being strengthened in the elementary, middle, and high school Informatics curriculum, and AI-related activity experience is emerging as a major evaluation factor in college admissions, too. AI literacy is the starting point for all AI education and a basic competency for being a digital citizen.
Students can start in 3rd grade. It's an age where they can easily understand AI concepts by connecting them to everyday examples, and they can learn the basics of AI literacy without any coding. Before that stage, CIT first builds out a child's thinking from preschool and 1st grade through the 'foundations of problem-solving' (breaking down problems and logical, mathematical thinking), and AI literacy then begins in earnest on top of that thinking ability.
Yes, the foundational AI literacy course runs without any coding. It focuses on understanding AI's concepts, principles, technical applications, and system design, and introduces coding as needed at the advanced levels.
Students learn how to use generative AI tools including ChatGPT, but not just how to use them—they also learn how the AI generates its answers and how to evaluate the results critically.
Starting in 2025, AI content is included in the elementary, middle, and high school Informatics curriculum, and studying AI literacy directly helps improve Informatics grades. Logical thinking and data interpretation skills also have a positive effect on math and science.
AI literacy is the foundational ability to understand and critically evaluate AI, while AI education is a broader concept that also includes technical implementation such as machine learning and deep learning. AI literacy is the first step in AI education.
After completing AI literacy, students can advance in the order of Python basics → data analysis → machine learning → AI projects. We design an individual learning path tailored to each student's level and goals.
Not sure where to start with an AI literacy academy? Through a placement test and free consultation, we'll guide you to the AI literacy course that fits your child.