MegaMaester

Artificial Intelligence · Lesson 1

What Is Artificial Intelligence?

beginner13 min · 9 cards
The big idea
🧠

AI = machines doing “smart” things

Computer systems that perform tasks we associate with human intelligence — spotting patterns, understanding language, predicting, and creating.

Compare

Rules vs. patterns

Traditional

Follows rules

Explicit instructions a developer wrote.
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AI

Learns patterns

Figures out patterns from examples.
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Modern systems often combine both.

How the words nest

AI ⊃ ML ⊃ Deep Learning

Artificial IntelligenceMachine LearningDeep Learning
Machine learning is part of AI; deep learning is part of machine learning.
You use it already

AI around you

Tap a tile to see where.

Key term

Flip to learn

What is “inference”?
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Inference
Using a trained model to produce an output for new input — the “using” phase, not the “learning” (training) phase.
Nuance

A word from the Maester

Maester Note

AI can be useful without consciousness — and it can still be wrong, biased, or outdated. Treat outputs as a draft to review.

Common misconception

“All AI is machine learning.” ML is one part of the broader AI field.

Recap

Key takeaways

  • AI is a field of building systems that perform tasks associated with intelligence.
  • Rule-based software can be read; learned systems must be tested.
  • Deep learning sits inside machine learning, which sits inside AI.
  • Usefulness does not require understanding, and fluency does not prove correctness.
Quick check

Which statement best describes artificial intelligence?