Question 1

A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?

Options :

A : Encrypting stored data to reduce exposure and log access

B : Updating the AI model with new data and tracking changes

C : Implementing strict data access controls and conducting security tests

D : Anonymizing patient data and performing regular quality checks

Answer: D

Question 2

A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?

Options :

A : The clustering requires more data, increasing the risk of a privacy breach.

B : Clustering increases the complexity of the model, making data harder to anonymize.

C : Irrelevant features in the data may result in inaccurate or biased treatments.

D : Clusters can reveal sensitive personal information depending on how the information is presented.

Answer: D

Question 3

Which of the following is the MOST important task when gathering data during the AI system development process?

Options :

A : Stratifying the data

B : Isolating the system

C : Cleaning the data

D : Training the system

Answer: C

Question 4

Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?

Options :

A : Data performance metrics

B : Data usage agreements

C : Use of open-source intellectual property

D : Model runtime efficiency logs

Answer: B

Question 5

Which of the following is the GREATEST risk associated with using AI in audit planning?

Options :

A : Increased planning costs

B : Scope creep

C : Incomplete data

D : Limited knowledge

Answer: C

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