CH 1: Intro to AI

Question 1

🌟 What is Artificial Intelligence (AI)?

Answer 1

Artificial Intelligence, or AI, means computer programs or machines that can do things that normally need human smarts — like thinking, solving problems, or learning from experience. 🧠💻

Example:
For example, if a robot can play chess or answer questions like a person, that’s AI!

Question 2

🤖 What is Narrow (or Weak) AI?

Answer 2

Narrow AI is like a super-focused robot that’s really good at just one thing. 🏓 It might recognize your face to unlock your phone or suggest what to watch next on Netflix. It can’t do anything else — just its one job really well.

Example:
Think: Siri, Alexa, or even email spam filters.

Question 3

🔮 What is Predictive AI?

Answer 3

Predictive AI is like a super-smart fortune teller! 🔮 It looks at tons of data (like customer habits) and finds patterns to guess what might happen next.

Example:
For example, it can help a store know which customers might stop buying soon or what products might be popular next month.

Question 4

🎨 What is Generative AI?

Answer 4

Generative AI is like a creative artist that learned from others and now makes its own stuff! 🎨 It can write poems, draw pictures, make music, or even write computer code. It learned from lots of examples and now creates new things — like ChatGPT or DALL·E.

Question 5

🧠 What is General AI (also called Strong AI)?

Answer 5

General AI (or Strong AI) is like a robot-human twin! 🤯 It doesn’t exist yet, but it’s the idea of an AI that can do anything a human can do — solve problems, feel emotions, make decisions — in any area. Basically, it would be like a super brainy robot that could do everything.

Question 6

🔧 How does AI work?

Answer 6

AI works by learning from data, not from being told exactly what to do. This is called machine learning. 🧠 Instead of writing out rules, we show the AI lots of examples, and it figures out the patterns.

Example:
Likeshowing a child lots of pictures of cats until they know what a cat is.

Question 7

📊 What are the steps in how AI learns?

Answer 7

AI usually learns in these steps:
1. It collects a lot of data (like photos, numbers, or words) 📸
2. It spots patterns in that data (like ‘dogs usually have ears and tails’) 🔍
3. It builds a model to understand those patterns 📐
4. Then it makes guesses or decisions based on new data! 🎯

Question 8

✅ What are the benefits of AI?

Answer 8

Some awesome things AI can do:
- Do boring or repetitive tasks so humans don’t have to (like sorting emails!)
- Help people make smarter decisions using data
- Give everyone personalized experiences — like recommending your favorite songs 🎶

Question 9

⚠️ What are the drawbacks of AI?

Answer 9

But AI has downsides too:
- It needs your data, which might hurt your privacy 🕵️
- If it learns from biased info, it can make unfair decisions ❌
- It might replace some jobs, which worries people who do those jobs 🧑‍🏭
- There are big questions about what’s right or wrong to do with AI 🤔