Quiz about Certification Exam, IAPP, IAPP Artificial Intelligence Governance Professional

Question 1

Machine learning is best described as a type of algorithm by which?

Accepted Answer

Systems can automatically improve from experience through predictive patterns.

Answer

Systems can mimic human intelligence with the goal of replacing humans.

Answer

Statistical inferences are drawn from a sample with the goal of predicting human intelligence.

Answer

Previously unknown properties are discovered in data and used to predict and make
improvements in the data.

Question 2

You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts
that have a specialty Italian dish made in a traditional fashion without spinach and wine. The
generative Al tool recommended five restaurants for you to visit.
After looking up the restaurants, you discovered one restaurant did not exist and two others did not
have the dish.
This information provided by the generative Al tool is an example of what is commonly called?

Accepted Answer

Hallucination.

Answer

Prompt injection.

Answer

Model collapse.

Answer

Overfitting.

Question 3

Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

Accepted Answer

Government regulators.

Answer

Data architects.

Answer

Socio-cultural and technical experts.

Answer

Legal and privacy governance experts.

Question 4

A company is working to develop a self-driving car that can independently decide the appropriate
route to take the driver after the driver provides an address.
If they want to make this self-driving car “strong” Al, as opposed to \"weak,” the engineers would also
need to ensure?

Accepted Answer

That the Al has full human cognitive abilities that can independently decide where to take the
driver.

Answer

That they have obtained appropriate intellectual property (IP) licenses to use data for training the
Al.

Answer

That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.

Answer

That the Al can differentiate among ethnic backgrounds of pedestrians.

Question 5

Which of the following is NOT a common type of machine learning?

Accepted Answer

Cognitive learning.

Answer

Deep learning.

Answer

Unsupervised learning.

Answer

Reinforcement learning.

Question 6

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has
decided to utilize artificial intelligence to streamline and improve its customer acquisition and
underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large
language model (“LLM”). In particular, ABC intends to use its historical customer data—including
applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial
qualification assessment of potential customers, which would then be routed t

Accepted Answer

human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness
assessment, and made the decision to deploy the LLM into production. ABC has designated an
internal compliance team to monitor the model during the first month, specifically to evaluate the
accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that
the LLM declines a higher percentage of women's loan applications due primarily to women
historically receiving lower salaries than men.
The best approach to enable a customer who wants information on the Al model's parameters for
underwriting purposes is to provide?
A. A transparency notice.

Answer

An opt-out mechanism.

Answer

Detailed terms of service.

Answer

Customer service support.

Question 7

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has
decided to utilize artificial intelligence to streamline and improve its customer acquisition and
underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large
language model (“LLM”). In particular, ABC intends to use its historical customer data—including
applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial
qualification assessment of potential customers, which would then be routed a human underwriter
for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness
assessment, and made the decision to deploy the LLM into production. ABC has designated an
internal compliance team to monitor the model during the first month, specifically to evaluate the
accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that
the LLM declines a higher percentage of women's loan applications due primarily to women
historically receiving lower salaries than men.
Which of the following is the most important reason to train the underwriters on the model prior to
deployment?

Accepted Answer

To apply their own judgment to the initial assessment.

Answer

To provide a reminder of a right appeal.

Answer

To solicit on-going feedback on model performance.

Answer

To ensure they provide transparency applicants on the model.

Question 8

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has
decided to utilize artificial intelligence to streamline and improve its customer acquisition and
underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large
language model (“LLM”). In particular, ABC intends to use its historical customer data—including
applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial
qualification assessment of potential customers, which would then be routed .. human underwriter
for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness
assessment, and made the decision to deploy the LLM into production. ABC has designated an
internal compliance team to monitor the model during the first month, specifically to evaluate the
accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that
the LLM declines a higher percentage of women's loan applications due primarily to women
historically receiving lower salaries than men.
During the first month when ABC monitors the model for bias, it is most important to?

Accepted Answer

Continue disparity testing.

Answer

Analyze the quality of the training and testing data.

Answer

Compare the results to human decisions prior to deployment.

Answer

Seek approval from management for any changes to the model.

Question 9

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has
decided to utilize artificial intelligence to streamline and improve its customer acquisition and
underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large
language model (“LLM”). In particular, ABC intends to use its historical customer data—including
applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial
qualification assessment of potential customers, which would then be routed t

Accepted Answer

Providing the loan applicants with information about the model capabilities and limitations.

Answer

human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness
assessment, and made the decision to deploy the LLM into production. ABC has designated an
internal compliance team to monitor the model during the first month, specifically to evaluate the
accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that
the LLM declines a higher percentage of women's loan applications due primarily to women
historically receiving lower salaries than men.
Each of the following steps would support fairness testing by the compliance team during the first
month in production EXCEPT?
A. Validating a similar level of decision-making across different demographic groups.

Answer

Identifying if additional training data should be collected for specific demographic groups.

Answer

Using tools to help understand factors that may account for differences in decision-making.

Question 10

CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has
decided to utilize artificial intelligence to streamline and improve its customer acquisition and
underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large
language model (“LLM”). In particular, ABC intends to use its historical customer data—including
applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial
qualification assessment of potential customers, which would then be routed a human underwriter
for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness
assessment, and made the decision to deploy the LLM into production. ABC has designated an
internal compliance team to monitor the model during the first month, specifically to evaluate the
accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that
the LLM declines a higher percentage of women's loan applications due primarily to women
historically receiving lower salaries than men.
What is the best strategy to mitigate the bias uncovered in the loan applications?

Accepted Answer

Retrain the model with data that reflects demographic parity.

Answer

Procure a third-party statistical bias assessment tool.

Answer

Document all instances of bias in the data set.

Answer

Delete all gender-based data in the data set.

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