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  • Questions: 164 Q&A's With Detailed Explanation
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  • Exam Name: Artificial Intelligence Governance Professional
  • Last Update: 16-Oct-2025
  • Questions and Answers: 164
  • Single Choice: 162 Q&A's
  • Multiple Choice: 2 Q&A's

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AIGP Questions and Answers

Question # 1

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.

The frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk Management Framework and?

A.

NIST Information Security Risk (NIST SP 800-39).

B.

NIST Cyber Security Risk Management Framework (CSF 2.0).

C.

IEEE Ethical System Design Risk Management Framework (IEEE 7000-21).

D.

Human Rights, Democracy, and Rule of Law Impact Assessment (HUDERIA).

Question # 2

What type of organizational risk is associated with Al's resource-intensive computing demands?

A.

People risk.

B.

Security risk.

C.

Third-party risk.

D.

Environmental risk.

Question # 3

A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant’s education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.

Which of the following laws is NOT relevant to this use case?

A.

Fair Housing Act.

B.

Fair Credit Reporting Act.

C.

Equal Credit Opportunity Act.

D.

Title VII of the Civil Rights Act of 1964.

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IAPP AIGP Exam Dumps FAQs

The IAPP AIGP exam assesses your knowledge and skills in governing the development, deployment, and management of AI systems responsibly and ethically. It covers core areas like AI ethics, risk management, legal and regulatory considerations, and best practices for ensuring trustworthy AI.

There are no formal prerequisites. However, a background in technology, data privacy, or a related field would be beneficial.

  • IAPP Resources: Utilize the International Association of Privacy Professionals (IAPP) resources like the AIGP exam blueprint, training materials, and self-study guide.
  • Industry Guidance: Explore resources from reputable organizations like ACM (Association for Computing Machinery) or ethic AI frameworks for understanding ethical AI principles.
  • Practice with Case Studies: Look for practice tests or case studies that simulate real-world scenarios in AI governance.
  • Stay Updated on Regulations: Keep yourself informed about emerging legal and regulatory frameworks for AI.
  • IAPP AIGP Exam Blueprint: The blueprint outlines the core knowledge areas and topics covered in the exam.
  • IAPP AIGP Training: Consider enrolling in the IAPP AIGP training program for comprehensive exam preparation.
  • Third-Party Resources: Explore reputable crack4sures or online courses offering practice tests, study guides, and additional resources aligned with the AIGP exam content.

The format and duration of the AIGP exam might change, so consult the crack4sure IAPP crack4sure for the latest information. It's typically a computer-based exam lasting around 2.75 hours with a 15-minute break.

IAPP typically doesn't disclose the specific passing score. Focus on understanding the core concepts of AI governance and responsible AI principles to increase your chances of success.

Yes, practice tests can be a valuable tool. Look for reputable crack4sures or online learning platforms that offer practice tests aligned with the latest AIGP exam content.

  • Align with the Exam Blueprint: Ensure your understanding aligns with the core knowledge areas and topics outlined in the crack4sure blueprint.
  • Focus on Practical Application: The exam might require applying your knowledge to real-world AI governance scenarios.
  • Stay Updated on AI Developments: The AI landscape evolves rapidly, so stay informed about emerging trends and advancements.
  • Manage Your Time Effectively: Practice completing practice tests and sample questions within the allotted exam time frame.

Exam Content and Focus on AI Governance:

The exam might assess your understanding of:

  • AI ethics principles and their application in AI development and deployment
  • Risk management frameworks for identifying, evaluating, and mitigating AI risks (bias, fairness, security, etc.)
  • Legal and regulatory considerations for AI, including data privacy regulations
  • Governance structures and accountability mechanisms for AI systems

Best practices for ensuring transparency, explainability, and human oversight in AI

The exam might include questions about:

  • Identifying and avoiding bias in AI systems
  • Ensuring fairness and non-discrimination in AI algorithms
  • Implementing principles of transparency and explainability in AI decision-making

The exam might assess your understanding of:

  • Different types of risks associated with AI systems (bias, security, privacy)
  • Risk assessment methodologies for AI projects
  • Strategies for mitigating and managing AI risks

Yes, the exam might cover:

  • Emerging legal and regulatory frameworks for AI development and use

The IAPP AIGP certification validates your expertise in designing, implementing, and managing AIGP - Artificial Intelligence Governance Professional AI governance frameworks and policies, ensuring ethical, responsible, and compliant development and deployment of AI systems.

This certification is designed for professionals involved in AI compliance, risk management, legal and governance, data science, AI project management, and trust roles who need to understand and apply AI governance principles.

There are no formal prerequisites to take the IAPP AIGP exam. However, a foundational understanding of privacy principles and experience with AI concepts and their societal implications are highly beneficial for success.

The exam covers key domains including the foundations of AI governance, how laws, standards, and frameworks apply to AI, governing AI development, governing AI deployment, and emerging governance and legal issues related to AI.

The IAPP AIGP exam fee is $799 USD for non-members and $649 USD for IAPP members. This fee covers the exam attempt and the initial certification maintenance.

The IAPP AIGP exam consists of 100 multiple-choice questions, with 85 scored. Candidates are allotted 2 hours and 45 minutes to complete the exam, with an optional 15-minute break that does not pause the clock.

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