AIGP · Question #24
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…
The correct answer is C. Utilize synthetic data to offset the lack of patient data. Using synthetic data allows the company to augment limited real patient data while protecting privacy, efficiently addressing data scarcity during testing.
Question
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?
Options
- ADeploy the current model and recalibrate it over time with more data.
- BExtend the model to multimodal ingestion with text and images.
- CUtilize synthetic data to offset the lack of patient data.
- DRefocus the algorithm to patients without cancer.
How the community answered
(27 responses)- A7% (2)
- B15% (4)
- C70% (19)
- D7% (2)
Explanation
Using synthetic data allows the company to augment limited real patient data while protecting privacy, efficiently addressing data scarcity during testing.
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