IAPP Exam AIGP Topic 6 Question 8 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 8
Topic #: 6

[All AIGP Questions]

Which of the following steps occurs in the design phase of the Al life cycle?

AData augmentation.

BModel explainability.

CRisk impact estimation.

DPerformance evaluation.

Show Suggested Answer

Suggested Answer: C

Risk impact estimation occurs in the design phase of the AI life cycle. This step involves evaluating potential risks associated with the AI system and estimating their impacts to ensure that appropriate mitigation strategies are in place. It helps in identifying and addressing potential issues early in the design process, ensuring the development of a robust and reliable AI system. Reference: AIGP Body of Knowledge on AI Design and Risk Management.

by Lajuana at Jul 07, 2024, 06:38 PM

Limited Time Offer

25%

Off

Get Premium AIGP Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Dewitt

11 months ago

Ooh, this one's tricky! I'm gonna have to go with my gut and say B) Model explainability. Gotta make sure those AI models are transparent, am I right?

upvoted 0 times

...

Delfina

11 months ago

Hold up, is this a trick question? I'm feeling a strong urge to pick A) Data augmentation, but I could be totally off base here.

upvoted 0 times

Xenia

10 months ago

C) Risk impact estimation is also a key step in the design phase.

upvoted 0 times

...

Breana

10 months ago

B) Model explainability is important too, so it's not a trick question.

upvoted 0 times

...

Corinne

10 months ago

A) Data augmentation is actually a step in the design phase.

upvoted 0 times

...

Vincenza

11 months ago

I think it's B) Model explainability because understanding how the model works is crucial in the design phase.

upvoted 0 times

...

Shalon

11 months ago

I'm gonna go with C) Risk impact estimation. Gotta make sure we're accounting for all the risks before moving forward, you know?

upvoted 0 times

Sarah

10 months ago

Definitely. It sets a solid foundation for the rest of the AI life cycle.

upvoted 0 times

...

Roslyn

10 months ago

I agree. It helps to identify and mitigate any potential issues early on in the process.

upvoted 0 times

...

Von

10 months ago

That's a good point. It's important to consider all potential risks in the design phase.

upvoted 0 times

...

Brett

11 months ago

I'm gonna go with C) Risk impact estimation. Gotta make sure we're accounting for all the risks before moving forward, you know?

upvoted 0 times

...

Gail

11 months ago

I bet the correct answer is actually just 'all of the above'. That's how they get you on these exams, man!

upvoted 0 times

Mari

9 months ago

I bet the correct answer is actually just 'all of the above'. That's how they get you on these exams, man!

upvoted 0 times

...

Roxane

9 months ago

D) Performance evaluation.

upvoted 0 times

...

Doyle

9 months ago

B) Model explainability.

upvoted 0 times

...

Myong

9 months ago

C) Risk impact estimation.

upvoted 0 times

...

Jonell

9 months ago

A) Data augmentation.

upvoted 0 times

...

Blondell

10 months ago

Definitely, gotta watch out for those tricky questions.

upvoted 0 times

...

Lawrence

10 months ago

Yeah, they always try to trick you on these exams.

upvoted 0 times

...

Nana

10 months ago

I think it's actually 'all of the above'.

upvoted 0 times

...

Nancey

10 months ago

D) Performance evaluation.

upvoted 0 times

...

Jani

10 months ago

C) Risk impact estimation.

upvoted 0 times

...

Nenita

10 months ago

B) Model explainability.

upvoted 0 times

...

Lashaunda

11 months ago

A) Data augmentation.

upvoted 0 times

...

Tayna

11 months ago

I'm not sure, but I think it's A) Data augmentation.

upvoted 0 times

...

Timothy

11 months ago

I disagree, I believe it's D) Performance evaluation.

upvoted 0 times

...

Kathrine

12 months ago

I think it's C) Risk impact estimation.

upvoted 0 times

...

Gary

12 months ago

I think it's gotta be B) Model explainability. That's definitely a key step in the design phase, right?

upvoted 0 times

Carli

10 months ago

Data augmentation, A), can also play a role in improving the model during the design phase.

upvoted 0 times

...

Andra

10 months ago

Performance evaluation, D), is important too to ensure the model meets requirements.

upvoted 0 times

...

Arlyne

11 months ago

I think it could also be C) Risk impact estimation, to assess potential risks early on.

upvoted 0 times

...

Michael

11 months ago

I agree, B) Model explainability is crucial for the design phase.

upvoted 0 times

...