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Isaca AAIA Exam - Topic 1 Question 12 Discussion

Actual exam question for Isaca's AAIA exam
Question #: 12
Topic #: 1
[All AAIA Questions]

Which of the following is MOST important to consider when auditing an organization's AI procedures?

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Suggested Answer: D

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Farrah
10 hours ago
Totally agree with D! Can't overlook data poisoning risks.
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Audry
6 days ago
Wait, can we really trust AI data validation?
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Benton
11 days ago
I think B) Employee training is just as important!
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Phuong
16 days ago
A) Frequency of updates is crucial for security.
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Junita
21 days ago
I'd like to see an AI system that can recover from a data breach by itself. That would be truly intelligent!
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Lucina
26 days ago
B) Employee training is key to ensuring proper AI usage.
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Latrice
1 month ago
I recall a practice question that emphasized the frequency of updates, but I wonder if that really outweighs the need for proper training.
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Nobuko
1 month ago
I’m leaning towards AI data validation being the most important, but I’m a bit confused about how it compares to security updates.
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Eun
1 month ago
I feel like backup and recovery is crucial, especially after that case study we reviewed about a data breach.
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Merissa
2 months ago
I think I remember discussing the importance of employee training in our last study group, but I'm not entirely sure if it's the most critical factor.
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Merissa
2 months ago
I'm going to go with data validation and filtration. Preventing data poisoning seems like it could have the biggest impact if it goes wrong.
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Refugia
2 months ago
I'm a bit confused on this one. They all seem pretty important. Maybe I should focus on understanding the differences between them?
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Cherilyn
2 months ago
C) Backup and recovery is also crucial in case of an AI disaster.
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Billi
2 months ago
D) AI data validation and filtration to prevent data poisoning is the most important factor to consider.
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Glennis
2 months ago
I'm leaning towards backup and recovery. If there's a breach, you need to be able to restore the system quickly and securely.
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Eleni
3 months ago
Agreed, data integrity is crucial for reliable AI systems.
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Theresia
3 months ago
D) Data validation is key to prevent issues.
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Shawna
3 months ago
Hmm, I'm not sure. Employee training on best practices seems really important too. You want to make sure the people using the AI know what they're doing.
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Leslie
3 months ago
I think the most important thing to consider is data validation and filtration to prevent data poisoning. That seems like the biggest risk with AI systems.
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