Data generated by artificial intelligence

Name:

Date:

Class:

Quick Questions

Shade in the A or B circle for each question.

1. An AI chatbot writes a summary of a news article. What should you do before using it in your report?

A Verify it against the original source

B Trust it because AI is always accurate

2. Which statement about AI-generated data is correct?

A Its quality is always perfect, no matter what it was trained on

B Its quality depends on the data the AI was trained on

3. Which of these is an example of AI-generated data?

A A prediction of next week's rainfall made by an AI model

B A paper survey form filled in by a classmate

4. What is synthetic data?

A Data copied exactly from a census record

B Artificial data generated to look like real data

5. An AI is trained mostly on data about students from one city. Its predictions about all Victorian students will likely be:

A Biased and less reliable

B Fair and fully representative

Match the Pairs

Draw a line connecting each item on the left to its match on the right.

Left column		Right column
1synthetic_data		Aforecast = model.predict(training_data)
2verify(ai_output)		BArtificial data created by an AI system to imitate real data, for example fake customer records used for testing a database
3An AI summary of a report is new data generated from the report's text		CCheck AI-generated content against reliable sources before using it
4An AI prediction is only as good as the data used to train the model		DThe AI summary was used without being checked. AI output can be wrong, so it must be verified against the source first.
5use(ai_summary) // copied straight into report		EAssuming AI output is correct just because an AI made it. Quality depends on the training data, which may be biased or incomplete.
6trust(prediction) because model is AI		Fsummary = ai.summarise(report)

Definitions

AI-generated data

Fill in the Blanks

Complete each line of code by filling in the missing parts.

IF source = "AI" ____ verified ← FALSE ENDIF

=_______(D2:D50,"AI-generated")

data ← "biased" output ← ________(data)

prediction ← "Sales will rise 20%" IF verified = ____ THEN use(prediction)

synthetic ← TRUE verified ← _____ IF verified = TRUE THEN use(output)

Spot the Error

Shade in the letter of the line that contains an error.

Question 1

A train = load("sales.csv")

B model = train_model(train)

C guess = model.predict(2025)

D use_now(guess)

Question 2

A real = load("patients.csv")

B synthetic = ai_make(real, 50)

C check(synthetic, synthetic)

Question 3

A report = read("report.txt")

B summary = ai_summarise(report)

C if check(summary, report)

D publish(summary)

Question 4

A prompt = "a koala on a beach"

B image = ai_draw(promt)

C label = "AI-generated"

D show(image, label)

Question 5

A ai_text = ai_write("climate)

B facts = find_facts(ai_text)

C verified = check_all(facts)

Answer Key

Data generated by artificial intelligence

Section A: Quick Questions

A — Verify it against the original source

B — Its quality depends on the data the AI was trained on

A — A prediction of next week's rainfall made by an AI model

B — Artificial data generated to look like real data

A — Biased and less reliable

Section B: Match the Pairs

synthetic_data → Artificial data created by an AI system to imitate real data, for example fake customer records used for testing a database

verify(ai_output) → Check AI-generated content against reliable sources before using it

An AI summary of a report is new data generated from the report's text → summary = ai.summarise(report)

An AI prediction is only as good as the data used to train the model → forecast = model.predict(training_data)

use(ai_summary) // copied straight into report → The AI summary was used without being checked. AI output can be wrong, so it must be verified against the source first.

trust(prediction) because model is AI → Assuming AI output is correct just because an AI made it. Quality depends on the training data, which may be biased or incomplete.

Section C: Definitions

AI-generated data — New data, such as text, images or predictions, created by an AI system. Its quality depends on the data the AI was trained on, so students must verify it before use.

Section D: Fill in the Blanks

IF source = "AI" THEN
  verified ← FALSE
ENDIF

=COUNTIF(D2:D50,"AI-generated")

data ← "biased"
output ← generate(data)

prediction ← "Sales will rise 20%"
IF verified = TRUE THEN use(prediction)

synthetic ← TRUE
verified ← FALSE
IF verified = TRUE THEN use(output)

Section E: Spot the Error

D — The AI prediction is used straight away without being checked. AI-generated predictions must be verified against real data first, so line 4 should be verify(guess, real_sales).

C — The synthetic data is being compared with itself, so the check proves nothing. It must be compared with the real data: check(synthetic, real).

C — The if statement is missing its colon at the end. It should be if check(summary, report): so the summary is only published after it has been checked.

B — The variable name is misspelt. promt was never created, so the program fails. It should be ai_draw(prompt).

A — The string is missing its closing quotation mark. It should be ai_write("climate") so the AI can generate the text.