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What Is Artificial Intelligence (AI): Definition, How It Works, Examples

Published: 11.08.2026·Updated: 11.08.2026
Bayu Nugraha

Bayu Nugraha

Children's Coding Specialist

What Is Artificial Intelligence (AI): Definition, How It Works, Examples

Artificial intelligence, or AI, is a computer's ability to find patterns across large amounts of data and then use those patterns to make decisions on its own, without being programmed rule by rule.

Table of Contents

The difference from ordinary software is about who writes the rules. In ordinary software a programmer writes every rule directly. In AI the programmer supplies a large number of examples, and the computer works out the rules itself.

How Artificial Intelligence Works

Imagine you want a computer to recognise a picture of a cat. The old approach means writing rules one by one: if there are triangular ears, and whiskers, and a tail. Such rules fail immediately on a cat curled up asleep or photographed from behind.

AI reverses the approach. You give the computer tens of thousands of photos already labelled cat and not-cat. The computer finds for itself the features that separate the two and stores them as a set of numbers. This is called training. Once trained, it can make a guess about a new photo it has never seen.

This way of learning from examples is called machine learning, and it is the engine behind almost all modern AI.

AI Children Use Every Day

What the child seesThe AI working behind it
Video recommendations on YouTube or TikTokA system that studies past viewing to guess the next video
Google TranslateA language model trained on millions of sentence pairs
Filters and portrait mode on a phone cameraImage recognition separating a face from the background
Voice assistants such as Siri or Google AssistantSpeech recognition plus command understanding
Computer opponents in gamesAdaptive logic that adjusts to how the player plays

In other words, children already interact with AI daily, long before they learn its name.

What AI Still Cannot Do

This is the part most often skipped, and the most important one for children.

  • AI does not truly understand. It calculates probabilities from patterns rather than grasping meaning the way a person does.
  • AI can be confidently wrong. A mistaken answer still arrives in convincing language, so children need the habit of checking.
  • AI inherits the flaws of its data. If the training data is skewed, the output is skewed too.
  • AI has no intent or feelings. It wants nothing; it simply runs calculations.

Why It Matters for Kids

From the 2025/2026 school year, coding and artificial intelligence entered Indonesian primary and junior secondary schools as elective subjects. AI is no longer an extracurricular topic but part of the curriculum a child will meet.

What separates a prepared child from an unprepared one is not the ability to use AI, which is easy. It is the ability to judge when an AI answer deserves trust and when it needs checking. That judgement grows from understanding how it works, not from memorising terms.

In Algonova's AI classes for children, kids build a simple model themselves and see first-hand why it sometimes gets things wrong. Want to try? Join a free class.