Free Isaca AAIA Actual Exam Questions - Question 14 Discussion
whether source data should be entered into approved generative AI tools to assist with an audit?
Maybe B makes the most sense here. If you’re putting source data into a generative AI tool, the privacy aspect is huge. Even if the data is reliable, if the tool doesn’t handle privacy properly, it could cause big issues for an audit. So checking for a privacy notice could be key before anything else.
I think the main issue here is whether the source data itself can be trusted before feeding it into any AI tool. If the data is unreliable, then even the best AI output won't help. So D seems like the more fundamental concern here—making sure the info you start with is solid before worrying about privacy notices or model updates.
It’s B, since privacy risks from inputting sensitive data are a top concern here.
This question seems to focus on the appropriateness of entering source data into AI tools, so ensuring the data is reliable before inputting it is crucial. Option D fits because if the source data isn’t reliable, it makes no sense to use it in AI, regardless of privacy or model updates. Options A and C are more about the AI tool itself, not the source data’s suitability. So I’d go with D as the most important step here—validating the reliability of the information before using it.
Option D because unreliable data ruins the AI output regardless of other factors.
B tbh, privacy should be a top concern here. If you’re feeding sensitive or personal data into AI tools, you need to be sure the tool respects that and has proper privacy notices. Without that, even reliable data could be mishandled. While data reliability matters, protecting confidentiality is key when using external AI systems.
This one’s kinda vague but I’m thinking the key thing has to be whether the info is actually reliable (D). Everything else seems less urgent compared to verifying if data going into the AI is solid.