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Which of the following steps occurs in the design phase of the Al life cycle?
Suggested Answer: C
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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.
47 comments · newest first
PO
Pok
11 months ago
Totally agree, data augmentation is key in the design phase!
CL
Cletus
11 months ago
Wait, performance evaluation happens in design? That seems off.
FI
Filiberto
12 months ago
Risk impact estimation is crucial in design!
MA
Margurite
12 months ago
I thought model explainability was more for the evaluation phase?
ED
Edelmira
1 year ago
Data augmentation is definitely part of the design phase.
MA
Margot
1 year ago
Performance evaluation seems like it should happen after the model is built, so I doubt it's part of the design phase.
AJ
Aja
1 year ago
Risk impact estimation sounds familiar, but I feel like it might come later in the process.
MI
Mitsue
1 year ago
I remember discussing model explainability in the design phase, but I can't recall if it was specifically mentioned as a step.
PO
Polly
1 year ago
I think data augmentation is more related to the data preparation phase, but I'm not entirely sure.
LO
Louis
1 year ago
The design phase is all about developing the actual AI model, so I'd say the answer is D. Performance evaluation. That's a key part of the design process.
SH
Shantay
1 year ago
Data augmentation sounds like it could be part of the data preparation phase, not the design phase. I'm leaning towards C. Risk impact estimation as the correct answer.
TE
Telma
1 year ago
Hmm, I'm a bit confused on the AI lifecycle stages. I'll have to think this through carefully and review my notes before answering.
BE
Becky
1 year ago
I'm pretty sure the design phase involves things like model architecture and hyperparameter tuning, so I think the answer is B. Model explainability.
LO
Louvenia
1 year ago
The key here is restricting internet access to RSSO users only. I'll focus on that and see if I can figure out the right configuration change.
JU
Justa
1 year ago
Hmm, I'm a bit unsure about this one. I'll need to review my notes on custom dimensions to make sure I understand the differences between the options.
DE
Dewitt
2 years 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?
DE
Delfina
2 years 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.
XE
Xenia
2 years ago
C) Risk impact estimation is also a key step in the design phase.
BR
Breana
2 years ago
B) Model explainability is important too, so it's not a trick question.
CO
Corinne
2 years ago
A) Data augmentation is actually a step in the design phase.
VI
Vincenza
2 years ago
I think it's B) Model explainability because understanding how the model works is crucial in the design phase.
SH
Shalon
2 years 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?
SA
Sarah
2 years ago
Definitely. It sets a solid foundation for the rest of the AI life cycle.
RO
Roslyn
2 years ago
I agree. It helps to identify and mitigate any potential issues early on in the process.
VO
Von
2 years ago
That's a good point. It's important to consider all potential risks in the design phase.
BR
Brett
2 years 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?
GA
Gail
2 years ago
I bet the correct answer is actually just 'all of the above'. That's how they get you on these exams, man!
MA
Mari
2 years ago
I bet the correct answer is actually just 'all of the above'. That's how they get you on these exams, man!
RO
Roxane
2 years ago
D) Performance evaluation.
DO
Doyle
2 years ago
B) Model explainability.
MY
Myong
2 years ago
C) Risk impact estimation.
JO
Jonell
2 years ago
A) Data augmentation.
BL
Blondell
2 years ago
Definitely, gotta watch out for those tricky questions.
LA
Lawrence
2 years ago
Yeah, they always try to trick you on these exams.
NA
Nana
2 years ago
I think it's actually 'all of the above'.
NA
Nancey
2 years ago
D) Performance evaluation.
JA
Jani
2 years ago
C) Risk impact estimation.
NE
Nenita
2 years ago
B) Model explainability.
LA
Lashaunda
2 years ago
A) Data augmentation.
TA
Tayna
2 years ago
I'm not sure, but I think it's A) Data augmentation.
TI
Timothy
2 years ago
I disagree, I believe it's D) Performance evaluation.
KA
Kathrine
2 years ago
I think it's C) Risk impact estimation.
GA
Gary
2 years ago
I think it's gotta be B) Model explainability. That's definitely a key step in the design phase, right?
CA
Carli
2 years ago
Data augmentation, A), can also play a role in improving the model during the design phase.
AN
Andra
2 years ago
Performance evaluation, D), is important too to ensure the model meets requirements.
AR
Arlyne
2 years ago
I think it could also be C) Risk impact estimation, to assess potential risks early on.
MI
Michael
2 years ago
I agree, B) Model explainability is crucial for the design phase.