How does an AI actually work?
Name:
Date:
Class:
A
Quick Questions
Shade in the A or B circle for each question.
1. Does AI learn patterns from training data?
2. Does AI use patterns to make predictions?
3. Is this process called machine learning?
4. Does AI need training data to work?
5. Are AI predictions completely random?
B
Match the Pairs
Draw a line connecting each item on the left to its match on the right.
| Left column | Right column | |
|---|---|---|
| 1Training data | AThe repeated shapes or trends AI finds in data | |
| 2Patterns | BThe large amount of data an AI learns from | |
| 3Learning patterns to make predictions | CWrong - AI needs training data to learn patterns | |
| 4What AI produces after learning patterns | DWrong - predictions come from learned patterns | |
| 5AI works with no training data at all | EPredictions | |
| 6AI predictions are just random guesses | FMachine learning |
C
Definitions
Machine learning
D
Fill in the Blanks
Complete each line of code by filling in the missing parts.
1.
AI learns from ________ data
2.
AI finds ________ in data
3.
AI uses patterns to make ___________
4.
This is called machine ________
5.
More ________ data improves AI
E
Spot the Error
Shade in the letter of the line that contains an error.
Question 1
A
AI never learns from data
B
It learns patterns from data
C
It predicts using patterns
Question 2
A
AI learns from training data
B
Training data teaches nothing
C
It finds patterns in data
Question 3
A
AI finds patterns in data
B
It predicts using patterns
C
Predictions are always random
Question 4
A
AI learns from training data
B
It finds patterns in data
C
It predicts from patterns
D
This is called cooking
Question 5
A
AI learns from training data
B
It finds patterns in data
C
It predicts using patterns
D
This is machine learning
E
More data makes AI worse
Answer Key
How does an AI actually work?
Section A: Quick Questions
Q1
A — Yes
Q2
A — Yes
Q3
A — Yes
Q4
B — Yes
Q5
B — No
Section B: Match the Pairs
Q1
Training data → The large amount of data an AI learns from
Q2
Patterns → The repeated shapes or trends AI finds in data
Q3
Learning patterns to make predictions → Machine learning
Q4
What AI produces after learning patterns → Predictions
Q5
AI works with no training data at all → Wrong - AI needs training data to learn patterns
Q6
AI predictions are just random guesses → Wrong - predictions come from learned patterns
Section C: Definitions
Q1
Machine learning — AI learns patterns from large amounts of training data, then uses those patterns to make predictions or generate content.Section D: Fill in the Blanks
Q1
AI learns from training dataQ2
AI finds patterns in dataQ3
AI uses patterns to make predictionsQ4
This is called machine learningQ5
More training data improves AISection E: Spot the Error
Q1
A — AI does learn from data - that's the whole point of training.
Q2
B — Training data does teach the AI patterns, not nothing.
Q3
C — AI predictions come from patterns, not random guesses.
Q4
D — This process is called machine learning, not cooking.
Q5
E — More training data usually helps AI improve, not worsen.