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IAPP AIGP Exam Overview:

Certification Vendor:	IAPP (International Association of Privacy Professionals)
Exam Name:	IAPP Certified Artificial Intelligence Governance Professional (AIGP) Exam
Exam Number:	AIGP
Related Certifications:	CIPT CIPM CIPP/E CIPP/US
Available Languages:	English
Exam Format:	Single-select, Multi-select, Scenario-based questions, Multiple-choice
Exam Price:	USD 799 (non-member) / USD 649 (IAPP member)
Certificate Validity Period:	2 years
Exam Duration:	165 minutes
Passing Score:	300 (scaled score out of 100–500)
Real Exam Qty:	100 (85 scored + ~15 unscored pilot questions)
Recommended Training:	IAPP Official AIGP Training and Resources AIGP Practice Exam (Official IAPP Store)
Exam Registration:	Pearson VUE Scheduling Portal (via IAPP account) Official IAPP AIGP Exam Registration
Sample Questions:	IAPP AIGP Sample Questions
Exam Way:	Computer-based exam delivered via Pearson VUE (test center or online proctored OnVUE)
Pre Condition:	None
Official Syllabus URL:	https://iapp.org/certify/aigp

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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.
Topic 4	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.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q118-Q123):

NEW QUESTION # 118
What is the most important reason for requiring collaboration among cross-functional stakeholder teams during the AI development lifecycle?

A. To establish a user-centric design.
B. To minimize the involvement of third parties.
C. To establish accountability
D. To minimize potential liability to users.

Answer: C

Explanation:
Collaboration among cross-functional teams ensures clear accountability across different AI development stages, improving governance and risk management.

NEW QUESTION # 119
All of the following are unique characteristics of AI that require a comprehensive approach to governance EXCEPT: (Choose three.)

A. Autonomy.
B. Adaptability.
C. Automation.
D. Speed and scale.
E. Superintelligence.

Answer: C,D,E

Explanation:
The commonly recognized unique characteristics of AI that drive the need for comprehensive governance are autonomy and adaptability.
Automation, speed and scale, and superintelligence are not considered core unique characteristics for governance purposes in standard AI governance frameworks, making them the correct exceptions.

NEW QUESTION # 120
A Canadian company is developing an AI solution to evaluate candidates in the course of job interviews. Before offering the AI solution in the EU market, the company must take all of the following steps EXCEPT:

A. Engage a third-party auditor to perform a bias audit.
B. Register the AI solution in a public EU database.
C. Draw up technical documentation and instructions for use.
D. Establish a risk and quality management system.

Answer: A

Explanation:
While bias audits are important, the EU AI Act does not mandate engaging a third-party auditor; registration, risk management systems, and technical documentation are required.

NEW QUESTION # 121
After initially deploying a third-party AI model, you learn the developer has released a new version.
As deployer of this third-party model, what should you do?

A. Audit the model.
B. Communicate necessary updates to your users.
C. Retrain the model.
D. Seek input from data scientists.

Answer: A

Explanation:
When anew versionof a third-party model is released, the deployer must ensure it still meets safety, performance, and compliance requirements - which calls for aformal audit.
From theAI Governance in Practice Report 2024:
"Any updates or changes to AI systems should trigger a re-evaluation to ensure continued compliance and performance." (p. 12)
"Post-market monitoring includes reassessing the impact of updated models or retraining." (p. 35)

NEW QUESTION # 122
An app developer is creating a to-do app that compiles users' to-do lists, conducts basic online research about the tasks, prioritizes tasks, and allows users to add descriptions and notes. However, during the app's download process, it requests the user's name, address, phone number, political and union affiliations.
Which privacy principle relevant to the responsible development of AI systems is most likely violated by this data collection practice?

A. Transparency and explainability.
B. Data minimization and privacy by design.
C. Data portability and subject access rights.
D. Purpose limitation and explicit consent.

Answer: B

Explanation:
Data minimization requires organizations to collect and process only personal information that is adequate, relevant, and necessary for the specified purpose. A basic to-do application may reasonably require limited account or contact information, but political opinions and trade-union affiliations have no apparent necessity for compiling, researching, or prioritizing tasks. Those attributes are also treated as particularly sensitive under European data-protection law. Privacy by design requires privacy safeguards and data-protection principles to be incorporated into the product from the design stage and reflected in default settings. Therefore, unnecessary collection at installation directly implicates both minimization and privacy by design. Purpose limitation may also become relevant, but explicit consent does not by itself cure unjustified overcollection. Transparency, portability, and access rights address different privacy obligations and do not best characterize the defect described here.

NEW QUESTION # 123
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