Most Recent IAPP AIGP Exam Dumps

Prepare for the IAPP Artificial Intelligence Governance Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the IAPP AIGP exam and achieve success.

The questions for AIGP were last updated on Mar 28, 2025.

Viewing page 1 out of 20 pages.
Viewing questions 1-5 out of 100 questions

Get All 100 Questions & Answers

Question No. 1

A Canadian company is developing an Al solution to evaluate candidates in the course of job interviews.

Before offering the Al solution in the EU market, the company must take all of the following steps EXCEPT?

ARegister the Al solution in a public EU database.

BEstablish a risk and quality management system.

CEngage a third-party auditor to perform a bias audit.

DDraw up technical documentation and instructions for use.

Show Answer

Correct Answer: A

Before offering an AI solution in the EU market, a Canadian company must take several steps to comply with the EU AI Act. These steps include establishing a risk and quality management system (B), engaging a third-party auditor to perform a bias audit (C), and drawing up technical documentation and instructions for use (D). However, there is no requirement to register the AI solution in a public EU database (A). This registration step is not specified as part of the compliance requirements under the EU AI Act for such solutions.

Question No. 2

Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

ASegmentation.

BGenerative Al.

CExpert systems.

DSupervised learning.

Show Answer

Correct Answer: D

Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference: AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.g., text recognition, detecting spam in emails).

Question No. 3

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

Ahuman 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?

AValidating a similar level of decision-making across different demographic groups.

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

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

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

Show Answer

Correct Answer: B

Providing the loan applicants with information about the model capabilities and limitations would not directly support fairness testing by the compliance team. Fairness testing focuses on evaluating the model's decisions for biases and ensuring equitable treatment across different demographic groups, rather than informing applicants about the model.

Question No. 4

The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

AEstablishing explain ability criteria to responsibly source and use data to train Al systems.

BDefining requirements specific to each industry sector and high-risk Al domain.

CFocusing on Al technical design and post-deployment monitoring.

DBalancing Al innovation with ethical considerations.

Show Answer

Correct Answer: D

The OECD's Ethical AI Governance Framework aims to ensure that AI development and deployment are carried out ethically while fostering innovation. The framework includes principles like transparency, accountability, and human rights protections to prevent societal harm. It does not focus solely on technical design or post-deployment monitoring (C), nor does it establish industry-specific requirements (B). While explainability is important, the primary goal is to balance innovation with ethical considerations (D).

Question No. 5

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.

Which of the following measures should XYZ adopt to best mitigate its risk of reputational harm from using the Al tool?

ATest the Al tool pre- and post-deployment.

BEnsure the vendor assumes responsibility for all damages.

CDirect the procurement team to select the most economical Al tool.

DContinue to require XYZ's hiring personnel to manually screen all applicants.

Show Answer

Correct Answer: A

To mitigate the risk of reputational harm from using an AI hiring tool, XYZ Corp should rigorously test the AI tool both before and after deployment. Pre-deployment testing ensures the tool works correctly and does not introduce bias or other issues. Post-deployment testing ensures the tool continues to operate as intended and adapts to any changes in data or usage patterns. This approach helps to identify and address potential issues proactively, thereby reducing the risk of reputational harm. Ensuring the vendor assumes responsibility for damages (B) does not address the root cause of potential issues, selecting the most economical tool (C) may compromise quality, and continuing manual screening (D) defeats the purpose of using the AI tool.

Unlock All Questions for IAPP AIGP Exam

Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits

Get All 100 Questions & Answers