Study Guide
Artificial Intelligence Governance Professional Study Guide
Use the saved domain outline to connect i. understanding the foundations of ai governance, ii. understanding how laws, standards and frameworks apply to ai, iii. understanding how to govern ai development, iv. understanding how to govern ai deployment and use to scenario-based questions and explanations.
How the Exam Is Structured
Artificial Intelligence Governance Professional (AIGP) validates i. understanding the foundations of ai governance, ii. understanding how laws, standards and frameworks apply to ai, iii. understanding how to govern ai development, iv. understanding how to govern ai deployment and use. The ExamPal practice bank includes 260 premium questions and 40 free questions mapped across the official blueprint.
| Domain | Weight | Focus |
|---|---|---|
| I. Understanding the foundations of AI governance | 25% | A. Understand what AI is and why it needs governance; B. Establish and communicate organizational expectations for AI governance |
| II. Understanding how laws, standards and frameworks apply to AI | 25% | A. Understand how existing data privacy laws apply to AI; B. Understand how other types of existing laws apply to AI |
| III. Understanding how to govern AI development | 25% | A. Govern the designing and building of the AI system; B. Govern the collection and use of data in training and testing the AI model and system |
| IV. Understanding how to govern AI deployment and use | 25% | A. Evaluate key factors and risks relevant to the decision to deploy the AI system; B. Perform key activities to assess the AI system |
25% of exam
I. Understanding the foundations of AI governance
This domain covers the core concepts of AI governance, including what AI is, why governance is needed, and how organizations set expectations for responsible AI use. It also addresses the policies and procedures that should apply across the AI life cycle.
25% of exam
II. Understanding how laws, standards and frameworks apply to AI
This domain addresses the legal and standards landscape for AI, including how existing privacy and other laws apply, the main elements of AI-specific laws, and relevant industry standards and tools. It emphasizes understanding the regulatory environment across jurisdictions.
25% of exam
III. Understanding how to govern AI development
This domain focuses on governance responsibilities during AI system development, including design, building, training, testing, release, monitoring, and maintenance. It emphasizes controls over data use and model lifecycle activities.
25% of exam
IV. Understanding how to govern AI deployment and use
This domain covers the decision to deploy AI systems, assessment activities, and governance of use after deployment. It focuses on evaluating risks, performing assessments, and managing operational use of AI systems.
Key Terms to Know
These terms are loaded from the shared terminology pack and appear across the question explanations.
- AI governance
- The discipline of establishing organizational expectations, policies, and procedures for how AI is designed, built, trained, tested, deployed, monitored, maintained, and used, with the goal of managing risk and ensuring responsible use.
- AI impact assessment
- An assessment intended to provide understanding of the potential benefits and harms from an AI system.
- AI life cycle
- The full sequence of stages for an AI system, including design, building, training, testing, release, monitoring, maintenance, deployment, and use.
- AI model
- A model used in an AI system; the guide references its development, training, testing, selection, deployment, and monitoring.
- AI system
- A system that uses artificial intelligence; in the guide, candidates must understand how to govern its design, data use, release, monitoring, deployment, and use.
- AI-specific laws
- Laws created specifically for AI; the guide says candidates should understand their main elements.
- AIGP
- An IAPP certification for professionals in AI governance that demonstrates understanding of AI systems, risk reduction, safety and trust, bias identification and mitigation, and responsible AI management.
- Artificial Intelligence Governance Professional
- The full name of the AIGP certification offered by the IAPP.
- CIPM
- The Certified Information Privacy Manager certification, which demonstrates understanding of implementing privacy regulatory requirements in day-to-day operations.
- CIPP
- The Certified Information Privacy Professional certification, which demonstrates mastery of data privacy laws and regulations and how to apply them.
- CIPP/A
- The Asian privacy concentration within the CIPP certification.
- CIPP/C
- The Canadian privacy concentration within the CIPP certification.
- CIPP/CN
- The Chinese privacy concentration within the CIPP certification.
- CIPP/E
- The European privacy concentration within the CIPP certification.
- CIPP/US
- The U.S. private-sector privacy concentration within the CIPP certification.
- CIPT
- The Certified Information Privacy Technologist certification, which demonstrates deep understanding of privacy’s role in technology.
- OnVUE
- Pearson VUE’s remote exam delivery system.
- Pearson VUE
- The testing provider used for in-person exam delivery and remote delivery via OnVUE.
Official Materials and Guidance
This page is built from IAPP official materials and ExamPal shared release pack, the shared syllabus, topic tree, terminology pack, free pack, and premium pack.
- -Aigp Study Guide 2026
- -Guidance: IAPP BoK/study guide/store/FAQ saved locally
- -Domain outline: Official BoK/study guide areas saved; no public percentage split found locally: foundations of AI governance; laws/standards/frameworks; governing AI development; governing AI deployment/use.