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What Is Artificial Intelligence?

Sort out what AI, machine learning, deep learning and generative AI actually mean — and what AI is not.

  • 6 min
  • +50 XP
  • 2 knowledge checks

By the end of this station, you can:

  • Explain artificial intelligence in your own words
  • Tell the difference between AI, machine learning, deep learning and generative AI
  • Recognize AI you already use every day

A big word for a big family of tools

Artificial intelligence (AI) is the field of building computer systems that do tasks we usually connect with human intelligence — recognizing faces, understanding speech, recommending songs, translating languages, or writing a paragraph.

Notice the word “field.” AI isn't one single robot brain. It's a huge toolbox of techniques, and different tools are good at very different jobs.

You already use AI (a lot)

When your phone unlocks with your face, when a streaming app suggests your next show, or when your email filters out spam, you're using AI. None of these systems can do the others' jobs — a spam filter can't pick your next song.

That's called narrow AI: a system built for one specific kind of task. Every AI tool you use today is narrow AI, even the chatbots that seem to talk about anything.

How AI, machine learning, deep learning and generative AI fit togetherFour nested boxes. Artificial intelligence is the largest. Inside it is machine learning, inside that is deep learning, and inside that is generative AI, which includes large language models.Artificial IntelligenceAny technique for “smart” tasks — e.g. a rule-based game opponentMachine LearningLearns patterns from data — e.g. spam filtersDeep LearningMany-layered neural networks — e.g. face unlockGenerative AICreates new content — e.g. LLM chatbots, image generators
DiagramAI is the biggest circle. Machine learning is one way to build AI, deep learning is one kind of machine learning, and generative AI is one use of deep learning.

Key terms

Artificial intelligence (AI)
The broad field of building computer systems that perform tasks usually associated with human intelligence.
Machine learning (ML)
A way of building AI where the computer learns patterns from examples (data) instead of following only hand-written rules.
Deep learning
A type of machine learning that uses large neural networks with many layers to find complex patterns.
Generative AI
AI that creates new content — text, images, audio, code — based on patterns learned from training data.
Narrow AI
AI designed for a specific task or range of tasks. All AI in use today is narrow AI.

Knowledge check 1

+10 XP on first try
A video game enemy follows a list of rules a programmer wrote: “If the player is close, attack. If health is low, run away.” Which statement is most accurate?

Rule-based AI vs. machine learning

Rule-based

  • A person writes every rule by hand
  • Predictable and easy to explain
  • Breaks when a situation isn't covered by a rule

Machine learning

  • The system finds patterns in lots of examples
  • Handles messy, real-world input like photos and speech
  • Harder to explain exactly why it made a choice
Learn moreWhat about “general” AI?

You may hear the term artificial general intelligence (AGI): a hypothetical AI that could learn and perform almost any intellectual task a person can. It does not exist today, and experts disagree about whether or when it might.

When you read headlines about AI, it helps to ask: is this describing a narrow tool that exists now, or a prediction about the future?

Knowledge check 2

+10 XP on first try
Your friend says, “The AI that writes my essay outlines is the same kind of AI that recognizes my face to unlock my phone.” What's the best response?

Key takeaways

  • AI is a broad field, not a single machine.
  • Machine learning ⊂ AI: it learns from data instead of only following written rules.
  • Every AI tool today is narrow AI, built for specific tasks.
  • AI calculates outputs from patterns — it doesn't think or feel like a person.

Sources for this lesson

  • University of Helsinki and MinnaLearn. Elements of AI. Full citation
  • AI4K12 Initiative (AAAI and CSTA). Five Big Ideas in Artificial Intelligence. Full citation

Finish this station

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