Exam AIGP topic 1 question 83 discussion

Actual exam question from IAPP's AIGP

Question #: 83
Topic #: 1

You are the chief privacy officer of a medical research company that would like to collect and use sensitive data about cancer patients, such as their names, addresses, race and ethnic origin, medical histories, insurance claims, pharmaceutical prescriptions, eating and drinking habits and physical activity.
The company will use this sensitive data to build an AI algorithm that will spot common attributes that will help predict if seemingly healthy people are more likely to get cancer. However, the company is unable to obtain consent from enough patients to sufficiently collect the minimum data to train its model.
Which of the following solutions would most efficiently balance privacy concerns with the lack of available data during the testing phase?

A. Deploy the current model and recalibrate it over time with more data.
B. Extend the model to multimodal ingestion with text and images.
C. Utilize synthetic data to offset the lack of patient data.
D. Refocus the algorithm to patients without cancer.

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Suggested Answer: C 🗳️

by Ecommail at June 12, 2025, 8:08 p.m.

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Ecommail

3 days, 20 hours ago

Selected Answer: C

To balance privacy concerns with the lack of available patient data during the testing phase, the most efficient solution is: C. Utilize synthetic data to offset the lack of patient data. Explanation: Synthetic data involves generating artificial datasets that mimic the statistical properties of real patient data without containing any personally identifiable information (PII). This approach addresses privacy concerns by avoiding the use of real sensitive data while providing sufficient data to train the AI model. It allows the company to test and refine the algorithm without relying on patient consent during the testing phase, thereby overcoming the data scarcity issue.

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