Why is data provenance important for AI risk management?

It helps identify the source and history of data to assess its reliability and compliance

It ensures data is encrypted at rest and in transit

It reduces the storage cost of data

It automatically removes biased data from the dataset

A multinational corporation is implementing a data governance framework for its AI initiatives. The company operates in multiple countries with different data protection regulations. The data governance team is deciding how to structure the framework. Which approach best ensures compliance across all jurisdictions?

Create a global framework with local adaptations to meet country-specific regulatory requirements.

Adopt a single global data governance policy that applies uniformly to all countries.

Allow each country to develop its own data governance policies independently.

Outsource data governance to a global consulting firm.

A recruitment AI model is trained on historical hiring data. The data team notices that the dataset has very few examples of candidates from certain demographic groups. What is the most appropriate action to address this bias?

Use a bias mitigation algorithm during model training.

Oversample the underrepresented groups to balance the dataset.

Remove the demographic attributes from the dataset.

Collect more data from the underrepresented groups.

Which factor should be considered when determining the retention period for AI training data?

The color of the data storage server

The number of data scientists on the team

Legal and regulatory requirements

ISACAAdvanced in AI Risk

Domain 2Objective 4

AI Data and Asset Management AAIR Practice Questions (Page 5)

Part of the AI Life Cycle Risk Management domain, which accounts for 21% of the AAIR exam.

41questions here

9free pages

13concepts

21%of the exam

Questions 21–25

21foundation · easy
Why is data provenance important for AI risk management?
Select an answer first
22foundation · easy
Which safeguard is commonly used to protect data confidentiality in an AI system?
Select an answer first
23expert · hard
A multinational corporation is implementing a data governance framework for its AI initiatives. The company operates in multiple countries with different data protection regulations. The data governance team is deciding how to structure the framework. Which approach best ensures compliance across all jurisdictions?
Select an answer first
24application · medium
A recruitment AI model is trained on historical hiring data. The data team notices that the dataset has very few examples of candidates from certain demographic groups. What is the most appropriate action to address this bias?
Select an answer first
25foundation · easy
Which factor should be considered when determining the retention period for AI training data?
Select an answer first

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AI Data and Asset Management AAIR Practice Questions (Page 5)

Questions 21–25

Why is data provenance important for AI risk management?

Which safeguard is commonly used to protect data confidentiality in an AI system?

A recruitment AI model is trained on historical hiring data. The data team notices that the dataset has very few examples of candidates from certain demographic groups. What is the most appropriate action to address this bias?

Which factor should be considered when determining the retention period for AI training data?

Keep studying — AI Life Cycle Risk Management