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What is Artificial Intelligence

Building systems that perform tasks requiring human-like intelligence.

How it works

Artificial intelligence is the field of building systems that perform tasks normally requiring human intelligence, such as perceiving, reasoning, learning, planning, understanding language and acting. Approaches include symbolic AI with rules and logic, search and planning, probabilistic models and machine learning, now dominated by deep neural networks. A distinction is made between narrow AI, which is specialized for one task, and the hypothetical general AI with human-level flexibility.

Step-by-step walkthrough

  1. AI builds systems that do tasks needing human-like intelligence.
  2. Perception: understanding images, speech and text.
  3. Reasoning and planning: choosing good actions.
  4. Learning: improving from experience and data.
  5. Acting: controlling robots, software or giving answers.

Where it is used

Voice assistants, recommendation systems, spam filters, fraud detection, medical imaging, translation, self-driving research, game-playing agents and code assistants are applications of AI.

Common pitfall

Hype blurs capabilities: current systems can be impressive yet brittle, biased or confidently wrong. Equating AI with machine learning ignores other techniques, and treating output as truth without verification is risky. Define the problem and the measurable goal, check data quality and keep humans in the loop where stakes are high.

Where it fits in the course

What is Artificial Intelligence is topic 1 of 51 in AI & Machine Learning, rated Beginner. It is the first topic in this area. The next topic is Machine Learning Overview.

Practice and explore

How to study this topic

  1. Read the explanation above and restate the definition in your own words.
  2. Open the interactive lesson and answer its mini quiz.
  3. Read the common pitfall, then write a short example that avoids it.
  4. Check your understanding in the AI & Machine Learning quiz, and revisit the topic if you miss a question.

Frequently asked questions

What is What is Artificial Intelligence?
Building systems that perform tasks requiring human-like intelligence. It belongs to AI & Machine Learning and is a beginner-level topic.
Where do people use What is Artificial Intelligence?
Voice assistants, recommendation systems, spam filters, fraud detection, medical imaging, translation, self-driving research, game-playing agents and code assistants are applications of AI.
What is the most common mistake with What is Artificial Intelligence?
Hype blurs capabilities: current systems can be impressive yet brittle, biased or confidently wrong.
What should I learn before this topic?
Nothing earlier in AI & Machine Learning is required. This is where the area begins.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the AI & Machine Learning quiz.
Is What is Artificial Intelligence hard to learn?
It is a Beginner topic, so it works as an entry point. If the terms are new, read the explanation twice and try the visualizer before the quiz.
How long does it take to learn What is Artificial Intelligence?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to What is Artificial Intelligence?
Machine Learning Overview, Supervised Learning, Unsupervised Learning are closely connected. The full list is in the related topics section of this page.
What should I study after What is Artificial Intelligence?
Continue with Machine Learning Overview, the next topic in AI & Machine Learning.

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