Computer Science
Grade 7
20 min
Lesson 1: What is Artificial Intelligence (AI)? Defining Intelligent Machines
Define AI and explain its goal of creating machines that can perform tasks that typically require human intelligence.
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Introduction & Learning Objectives
Learning Objectives
Define Artificial Intelligence (AI) in their own words.
Identify at least three examples of AI in their daily lives.
Explain the basic difference between human intelligence and artificial intelligence.
Describe how a simple 'rule-based system' works using 'if-then' logic.
Analyze a simple task and determine if it demonstrates AI.
List two tasks that are easy for humans but difficult for current AI.
Ever wonder how a video game character can predict your next move, or how your phone suggests the perfect word to type next? 🤖 Let's dive into the world of smart machines!
In this lesson, we will explore the exciting field of Artificial Intelligence, or AI. We'll learn what it means for a machine to be 'intelligent' and...
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Key Concepts & Vocabulary
TermDefinitionExample
Artificial Intelligence (AI)The ability of a computer or machine to perform tasks that normally require human intelligence, like learning, problem-solving, and understanding language.A self-driving car uses AI to 'see' the road, understand traffic signs, and make decisions to navigate safely.
AlgorithmA set of step-by-step instructions that a computer follows to complete a specific task. It's like a recipe for a computer.The algorithm for a GPS app calculates the shortest route by analyzing different roads, traffic, and distances.
Rule-Based SystemA simple type of AI that makes decisions based on a set of 'if-then' rules created by a programmer.A chatbot that answers questions. IF a user types 'hours', THEN the bot responds with the...
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Core Syntax & Patterns
The 'If-Then' Logic Pattern
IF (a specific condition is true), THEN (perform a specific action).
This is a fundamental control structure used in programming to create rule-based systems. It tells the machine exactly what to do when it encounters a certain situation.
The Input-Process-Output (IPO) Model
Input -> Process -> Output
This model explains how all computer programs, including AI, function. The system takes in data (Input), uses an algorithm to 'think' about it (Process), and then produces a result (Output).
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Challenging
A classmate says, 'My computer is intelligent because it can beat me at chess.' Using the concepts from the lesson, what is the best counter-argument to explain why this isn't necessarily true intelligence?
A.The computer isn't intelligent; it's just following a complex algorithm and processing possible moves much faster than a human can.
B.The computer must be intelligent, because winning at chess requires a high level of thinking.
C.The computer is only intelligent if it has a physical robot body to move the chess pieces itself.
D.The computer can't be intelligent because it uses electricity, and intelligence must be biological.
Challenging
A simple rule-based chatbot is programmed with 100 specific 'if-then' rules for answering questions. A modern Machine Learning chatbot learns from millions of online conversations. What is the most likely outcome if both are asked a question that is not covered by the first chatbot's rules?
A.Both chatbots will give the exact same, correct answer.
B.The rule-based chatbot will likely say 'I don't understand,' while the ML chatbot might be able to form a reasonable, related answer.
C.The ML chatbot will crash, but the rule-based chatbot will be able to answer it.
D.Both chatbots will say 'I don't understand' because no computer can answer a question it hasn't seen before.
Challenging
You are asked to design the logic for a simple AI that automatically waters a plant. It has a moisture sensor. Which set of rules demonstrates the most effective 'if-then' logic for this task?
A.IF it is morning, THEN water the plant.
B.IF the plant looks dry, THEN tell the user.
C.IF the soil moisture is below the target level, THEN turn on the water for 10 seconds.
D.IF the water is on, THEN check the soil moisture.
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