IAPP AIGP Artificial Intelligence Governance Professional Online Training
IAPP AIGP Online Training
The questions for AIGP were last updated at Oct 19,2024.
- Exam Code: AIGP
- Exam Name: Artificial Intelligence Governance Professional
- Certification Provider: IAPP
- Latest update: Oct 19,2024
Machine learning is best described as a type of algorithm by which?
- A . Systems can mimic human intelligence with the goal of replacing humans.
- B . Systems can automatically improve from experience through predictive patterns.
- C . Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
- D . Previously unknown properties are discovered in data and used to predict and make improvements in the data.
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?
- A . Prompt injection.
- B . Model collapse.
- C . Hallucination.
- D . Overfitting.
Each of the following actors are typically engaged in the Al development life cycle EXCEPT?
- A . Data architects.
- B . Government regulators.
- C . Socio-cultural and technical experts.
- D . Legal and privacy governance experts.
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?
- A . That the Al has full human cognitive abilities that can independently decide where to take the driver.
- B . That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.
- C . That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.
- D . That the Al can differentiate among ethnic backgrounds of pedestrians.
Which of the following is NOT a common type of machine learning?
- A . Deep learning.
- B . Cognitive learning.
- C . Unsupervised learning.
- D . Reinforcement learning.
Which of the following is NOT a common type of machine learning?
- A . Deep learning.
- B . Cognitive learning.
- C . Unsupervised learning.
- D . Reinforcement learning.
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?
- A . To provide a reminder of a right appeal.
- B . To solicit on-going feedback on model performance.
- C . To apply their own judgment to the initial assessment.
- D . To ensure they provide transparency applicants on the model.
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?
- A . Continue disparity testing.
- B . Analyze the quality of the training and testing data.
- C . Compare the results to human decisions prior to deployment.
- D . Seek approval from management for any changes to the model.
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?
- A . Continue disparity testing.
- B . Analyze the quality of the training and testing data.
- C . Compare the results to human decisions prior to deployment.
- D . Seek approval from management for any changes to the model.
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?
- A . Retrain the model with data that reflects demographic parity.
- B . Procure a third-party statistical bias assessment tool.
- C . Document all instances of bias in the data set.
- D . Delete all gender-based data in the data set.
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