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AI Hallucinations Review

Total questions: 14

Worksheet time: 10mins

Name
Class
Date
1.

What is an AI hallucination?

a)

When AI dreams while processing data

b)

When AI generates false or misleading information

c)

When AI refuses to answer a question

d)

When AI only follows pre-programmed rules

2.

Which of the following are reasons AI might hallucinate? (Choose two.)

a)

Poor-quality training data

b)

AI getting bored and making things up

c)

AI always knowing the correct answer

d)

The way AI generates text can introduce errors

3.

Which of these is an example of an AI hallucination?

a)

AI translating a sentence correctly

b)

AI generating a historical event that never happened

c)

AI refusing to answer a question

d)

AI checking its response for errors before answering

4.

What are ways to detect AI hallucinations? (Choose three.)

a)

Fact-check information from reliable sources

b)

Ask AI to rate its confidence in its response

c)

Trust AI completely since it's trained on good data

d)

Know the AI’s limitations and where its knowledge comes from

5.

Give an example of an AI hallucination you have encountered or heard about. What was incorrect about it?

4 lines
6.

Which of these statements about AI hallucinations is FALSE?

a)

AI hallucinations can happen in both text and images

b)

AI always knows when it’s making a mistake

c)

AI can sometimes generate misleading or completely false information

d)

AI hallucinations can happen due to poor-quality training data

7.

Which of these tools can help detect AI hallucinations? (Choose two.)

a)

Wikipedia or verified fact-checking sites

b)

Asking AI the same question multiple times

c)

Trusting everything AI says

d)

Looking at AI’s answer and assuming it’s correct

8.

Why do you think AI hallucinations can be dangerous in real-world applications (e.g., news, medicine, law)?

4 lines
9.

What is a factual contradiction in AI hallucinations?

a)

AI randomly switching topics in an answer

b)

AI stating false information as fact

c)

AI misunderstanding the question

d)

AI generating multiple possible correct answers

10.

One way to reduce AI hallucinations is to improve the (a)   AI is trained on. (Fill in the blank.)

11.

If you were designing an AI system, what steps would you take to prevent hallucinations?

4 lines
12.

Which of these AI tools have had issues with hallucinations in the past? (Choose three.)

a)

Meta’s Galactica

b)

Google’s Gemini

c)

ChatGPT

d)

Microsoft Excel

13.

If you see an AI-generated response that looks suspicious, what steps would you take before using the information?

4 lines
14.

Did you ever experience AI hallucination in your interaction with AI?

a)

Yes.

b)

No.

c)

I am not sure.