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IAPP AIGP Exam Overview:

Certification Vendor:	IAPP (International Association of Privacy Professionals)
Exam Name:	IAPP Certified Artificial Intelligence Governance Professional Exam
Exam Number:	AIGP
Passing Score:	300 (scaled score out of 500)
Real Exam Qty:	100
Exam Price:	USD 649 (members) / USD 799 (non-members)
Related Certifications:	CIPM CIPT CIPP
Available Languages:	English
Exam Duration:	165 (including 15-minute optional break)
Certificate Validity Period:	2 years
Exam Format:	Scenario-based, Multiple-choice
Recommended Training:	Official AIGP Body of Knowledge & Study Guide IAPP Training & Resources
Exam Registration:	IAPP Official Registration Pearson VUE Scheduling
Sample Questions:	IAPP AIGP Sample Questions
Exam Way:	Online remote proctored or in-person at Pearson VUE test centers
Pre Condition:	No formal prerequisites; open to all professionals
Official Syllabus URL:	https://iapp.org/certify/aigp

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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
Topic 2	Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
Topic 3	Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
Topic 4	Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q109-Q114):

NEW QUESTION # 109
An artist has been using an AI tool to create digital art and would like to ensure that it has copyright protection in the United States. Which of the following is most likely to enable the artist to receive copyright protection?

A. Obtain a representation from the AI provider on how the tool works.
B. Provide a log of the prompts the artist used to generate the images.
C. Ensure the tool was trained using publicly available content.
D. Update the images in a creative way to demonstrate that it is the artist's.

Answer: D

Explanation:
Copyright protection typically requires a human author's creative input, so modifying AI-generated images in a creative way demonstrates the artist's originality needed for copyright.

NEW QUESTION # 110
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. Human Rights, Democracy, and Rule of Law Impact Assessment (HUDERIA).
B. NIST Cyber Security Risk Management Framework (CSF 2.0).
C. NIST Information Security Risk (NIST SP 800-39).
D. IEEE Ethical System Design Risk Management Framework (IEEE 7000-21).

Answer: D

Explanation:
The IEEE Ethical System Design Risk Management Framework (IEEE 7000-21) would be most appropriate for XYZ Corp's governance needs in addition to the NIST AI Risk Management Framework. The IEEE framework specifically addresses ethical concerns during system design, which is crucial for ensuring the responsible use of AI in hiring. It complements the NIST framework by focusing on ethical risk management, aligning well with XYZ Corp's goals of deploying AI responsibly and mitigating associated risks.

NEW QUESTION # 111
What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?

A. Transfer learning.
B. Clustering.
C. Data compartmentalization.
D. Differential privacy.

Answer: D

Explanation:
Differential privacy provides mathematical guarantees that individual data points have minimal influence on model outputs, protecting privacy during training.

NEW QUESTION # 112
All of the following types of testing can help evaluate the performance of a responsible AI system EXCEPT:

A. Risk probability/severity.
B. Decision analysis.
C. Adversarial robustness.
D. Statistical sampling.

Answer: D

Explanation:
Statistical sampling is a data analysis technique rather than a testing method to evaluate responsible AI system performance, unlike risk probability/severity, adversarial robustness, and decision analysis.

NEW QUESTION # 113
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 to address this?

A. Replace the model with a previous version.
B. Run red-teaming exercises.
C. Perform an audit of the model.
D. Conduct champion/challenger testing.

Answer: D

Explanation:
Champion/challenger testing allows comparison between the current model and alternatives to identify if a replacement or adjustment is necessary, addressing accuracy deterioration systematically.

NEW QUESTION # 114
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