IAPP Exam AIGP Topic 7 Question 19 Discussion

Actual exam question for IAPP's AIGP exam

Question #: 19
Topic #: 7

A company initially intended to use a large data set containing personal information to train an Al model. After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model.

This is an example of applying which privacy-enhancing technique (PET)?

AAnonymization.

BPseudonymization.

CDifferential privacy.

DFederated learning.

Show Suggested Answer

Suggested Answer: A

Anonymization is a privacy-enhancing technique that involves removing or permanently altering personal data elements to prevent the identification of individuals. In this case, the company obfuscated all personal data elements before training the model, which aligns with the definition of anonymization. This ensures that the data cannot be traced back to individuals, thereby protecting their privacy while still allowing the company to derive value from the dataset. Reference: AIGP Body of Knowledge, privacy-enhancing techniques section.

by Cathern at Nov 13, 2024, 01:13 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel

Gilma

5 days ago

Haha, I bet the data scientists had a field day with 'obfuscating' all that personal info. Sounds like they were really 'anonymizing' the heck out of that data!

upvoted 0 times

...

Judy

7 days ago

I'm not sure, but I think it could also be B) Pseudonymization because the data was obfuscated.

upvoted 0 times

...

Jamika

14 days ago

I agree with Lorriane, anonymization is the best choice to protect personal data.

upvoted 0 times

...

Huey

14 days ago

Hmm, I'm not so sure. This sounds more like differential privacy to me, where they added noise to the data to preserve privacy while still deriving value.

upvoted 0 times