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IAPP AIGP Exam Sample Questions


Question # 1

Which of the following most encourages accountability over Al systems?
A. Determining the business objective and success criteria for the Al project.
B. Performing due diligence on third-party Al training and testing data.
C. Defining the roles and responsibilities of Al stakeholders.
D. Understanding Al legal and regulatory requirements.


C. Defining the roles and responsibilities of Al stakeholders.

Explanation:

Defining the roles and responsibilities of AI stakeholders is crucial for encouraging accountability over AI systems. Clear delineation of who is responsible for different aspects of the AI lifecycle ensures that there is a person or team accountable for monitoring, maintaining, and addressing issues that arise. This accountability framework helps in ensuring that ethical standards and regulatory requirements are met, and it facilitates transparency and traceability in AI operations. By assigning specific roles, organizations can better manage and mitigate risks associated with AI deployment and use.




Question # 2

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. Thatthe 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.


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




Question # 3

CASE STUDY

Please use the following answer the next question:

XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.

It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.

Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.

The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.

The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.

All of the following are potential negative consequences created by using the Al tool when making hiring decisions EXCEPT?
A. Reputational harm.
B. Civil rights violations.
C. Discriminatory treatment.
D. Intellectual property infringement.


D. Intellectual property infringement.




Question # 4

You are part of your organization’s ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating. What is the best first step address this?
A. Replace the model with a previous version.
B. Conduct champion/challenger testing.
C. Perform an audit of the model.
D. Run red-teaming exercises.


B. Conduct champion/challenger testing.

Explanation:

When the accuracy of a model deteriorates, the best first step is to conduct champion/challenger testing. This involves deploying a new model (challenger) alongside the current model (champion) to compare their performance. This method helps identify if the new model can perform better under current conditions without immediately discarding the existing model. It provides a controlled environment to test improvements and understand the reasons behind the deterioration. This approach is preferable to directly replacing the model, performing audits, or running red-teaming exercises, which may be subsequent steps based on the findings from the champion/challenger testing.

[Reference: AIGP BODY OF KNOWLEDGE, sections on model performance management and testing strategies., , ]




Question # 5

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


C. Hallucination.



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