IAPP AIGP Exam - Topic 4 Question 40 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 40
Topic #: 4

[All AIGP Questions]

You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative Al tool recommended five restaurants for you to visit.

After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish.

This information provided by the generative Al tool is an example of what is commonly called?

APrompt injection.

BModel collapse.

CHallucination.

DOverfitting.

Show Suggested Answer

Suggested Answer: C

In the context of AI, particularly generative models, 'hallucination' refers to the generation of outputs that are not based on the training data and are factually incorrect or non-existent. The scenario described involves the generative AI tool providing incorrect and non-existent information about restaurants, which fits the definition of hallucination. Reference: AIGP BODY OF KNOWLEDGE and various AI literature discussing the limitations and challenges of generative AI models.

by Fabiola at Jan 05, 2026, 05:16 AM

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Izetta

19 days ago

Definitely C) Hallucination. The AI tool just made up information that didn't match reality. Guess it was a bit too "creative" with its recommendations!

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Kenneth

24 days ago

C) Hallucination seems like the right answer here. The AI tool gave you recommendations that turned out to be false or inaccurate.

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Bette

29 days ago

I think the answer is C) Hallucination. The generative AI tool provided inaccurate information, which is a common issue with AI systems.

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Mignon

1 month ago

I recall a practice question about prompt injection, but I don't think that's what this is. It seems more like the AI just made things up.

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Vicky

1 month ago

I feel like this is definitely a case of hallucination, especially since the AI suggested a restaurant that doesn't even exist.

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Olive

1 month ago

I'm not entirely sure, but I remember something about model collapse in our discussions. Could that be related?

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Staci

2 months ago

I think this might be an example of hallucination since the AI provided incorrect information about the restaurants.

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Ozell

2 months ago

Hmm, this is a tough one. I'm not totally sure if it's hallucination or something else. I'll make my best guess, but I might need to come back to this question if I have time at the end.

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Lashon

2 months ago

Wait, I'm a little confused. Could it also be something like overfitting, where the AI is just generalizing too much from the training data? I'll have to review the concepts again to make the best call.

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Delmy

2 months ago

Ah, I think I've got it! The AI tool made up information that didn't actually exist, so that sounds like hallucination to me. I'm feeling pretty confident about this one.

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Fausto

2 months ago

Okay, let's see. The key seems to be that the AI tool provided information that didn't match reality. I'm leaning towards C) Hallucination, but I'll double-check the definitions to be sure.

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Alberto

3 months ago

Hmm, this seems like a tricky one. I'll need to think carefully about the different types of AI issues that could lead to this kind of inaccurate recommendation.

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