AI Literacy

Lesson 2: Engaging With AI

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Part 1: A brief history of AI

AI has evolved over the last few decades. In the next slide, we will explore a brief history or timeliness of AI.

Here’s a timeline of the development of Artificial Intelligence.

• 1950s: Some smart people began to wonder: Can we teach machines to think like humans? A man named Alan Turing came up with a famous question: "Can a machine think?" That’s when the dream of AI began!”
• 1956–1970s: At a meeting in 1956, the word “Artificial Intelligence” was born. Scientists started building simple computer programs that could play games like chess or solve math problems.”
• 1980s–1990s: People thought AI would grow fast, but teaching machines was much harder than they expected. They needed more data, faster computers, and better ideas.”
• 2000s–2010s: When the internet grew, computers had access to tons of data. Faster computers helped AI learn again! Now AI could recognize faces, translate languages, and even beat world champions at games like Go!”
• Today: Now AI is everywhere! It helps with Google search, YouTube suggestions, voice assistants, and even self-driving cars! But we also need to use it safely and kindly.

Part 2: What is AI and how does it work?

Before we proceed, what is AI or Artificial Intelligence?

AI, or Artificial Intelligence, is when computers or machines are made to think and learn like people. They can answer questions, help you find things, or even talk to you—just like a very smart robot friend.

So how does it work?

• Learn from Examples: AI looks at lots and lots of pictures, words, or sounds—like homework—to understand patterns. For example, it might see 1,000 pictures of cats to learn what a cat looks like.
• Practice and Get Smarter: Just like you get better when you practice, AI keeps learning by trying things over and over, and checking if it's right.
• Make Predictions or Decisions: Once it has learned enough, AI can guess what something is, write a sentence, or even talk to you—based on what it has learned.
• Help You Do Things Faster: AI uses what it knows to help people—like suggesting songs, drawing pictures, or answering questions!

AI, or Artificial Intelligence, is when computers or machines are made to think and learn like people. They can answer questions, help you find things, or even talk to you—just like a very smart robot friend.

Part 3: Key AI Concepts

Now that we’ve talked about what AI is and how it works, let’s look at a few key concepts you might hear when people talk about AI. Don’t worry — we’ll keep it simple and easy to understand.

• Machine Learning: Machine Learning is basically how computers learn from examples. Instead of being told step-by-step what to do, they look at lots of data — like images, text, or numbers — and start to recognise patterns. Once they see enough patterns, they can make predictions or decisions on their own. It's like training for a sport: the more you practice, the better you get.
• Natural Language Processing (NLP): NLP is what helps computers understand and use human language. It’s the reason AI can answer your questions, translate languages, summarise long texts, or chat with you. It allows computers to read, interpret, and even generate text that feels natural.
• Artificial General Intelligence (AGI): AGI is more of a future idea than something that exists today. It would be a type of AI that can think, learn, and solve problems across many different areas at the same level as a human. Right now, AI is good at specific tasks — not everything — so AGI is still just a concept researchers are exploring.
• Neural Networks: Neural networks are computer systems inspired by the human brain. They have layers that pass information forward and help AI recognise patterns — like telling whether a picture is a dog or a cat, or guessing what word should come next in a sentence. Think of them as the ‘brain cells’ of AI models.
• Superintelligence: Superintelligence is another theoretical idea. It would be an AI that becomes smarter than humans in almost every way — creativity, problem-solving, strategy, everything. This doesn’t exist today, but people talk about it when discussing the future of AI.

Remember: You don’t need to become AI experts. The goal is to understand these concepts enough so that AI feels less mysterious and more like something you can use and talk about confidently.”

Part 4: Your AI literacy journey starts here

Adults learn best when they can immediately apply what they learn. So everything we cover today has a practical 'how does this help me right now?'

By the end of today, you'll have concrete skills you can use immediately, and confidence to explore AI tools safely on your own.

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