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IAPP AIGP Exam Overview:
| Certification Vendor: | IAPP (International Association of Privacy Professionals) |
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| Exam Name: | IAPP Certified Artificial Intelligence Governance Professional Exam |
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| Exam Number: | AIGP |
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| Exam Format: | Scenario-based, Multiple-choice |
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| Exam Price: | USD 649 (members) / USD 799 (non-members) |
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| Exam Duration: | 165 (including 15-minute optional break) |
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| Real Exam Qty: | 100 |
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| Available Languages: | English |
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| Certificate Validity Period: | 2 years |
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| Related Certifications: | CIPP CIPT CIPM |
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| Passing Score: | 300 (scaled score out of 500) |
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| Recommended Training: | Official AIGP Body of Knowledge & Study Guide IAPP Training & Resources |
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| Exam Registration: | IAPP Official Registration Pearson VUE Scheduling |
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| Sample Questions: | IAPP AIGP Sample Questions |
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| Exam Way: | Online remote proctored or in-person at Pearson VUE test centers |
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| Pre Condition: | No formal prerequisites; open to all professionals |
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| Official Syllabus URL: | https://iapp.org/certify/aigp |
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| Topic | Details |
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| 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.
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| 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.
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| 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.
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| Topic 4 | - 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.
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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q138-Q143):
NEW QUESTION # 138
All of the following are reasons to deploy a challenger AI model in addition to a champion AI model EXCEPT to:
- A. Provide a framework to consider alternatives to the champion model.
- B. Retrain the champion model.
- C. Perform testing on the champion model.
- D. Automate real-time monitoring of the champion model.
Answer: B
Explanation:
Retraining the champion model is a maintenance activity, not a reason to deploy a challenger model; challenger models provide alternative options for comparison and testing.
NEW QUESTION # 139
The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?
- A. Balancing Al innovation with ethical considerations.
- B. Establishing explain ability criteria to responsibly source and use data to train Al systems.
- C. Focusing on Al technical design and post-deployment monitoring.
- D. Defining requirements specific to each industry sector and high-risk Al domain.
Answer: A
Explanation:
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).
NEW QUESTION # 140
Your management consulting firm is planning to use an AI system to support its employees.
Which category of operator applies to the firm in this context?
- A. Distributor.
- B. Deployer.
- C. Provider.
- D. Authorized representative.
Answer: B
Explanation:
The firm, by using the AI system to support its employees, acts as the deployer responsible for the operation and oversight of the AI system in its environment.
NEW QUESTION # 141
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. Ensure the tool was trained using publicly available content.
- B. Obtain a representation from the AI provider on how the tool works.
- C. Provide a log of the prompts the artist used to generate the images.
- 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 # 142
What is the term for an algorithm that focuses on making the best choice to achieve an immediate objective at a particular step or decision point, based on the available information and without regard for the longer-term best solutions?
- A. Single-lane.
- B. Efficient.
- C. Optimized.
- D. Greedy.
Answer: D
Explanation:
A greedy algorithm makes the best immediate choice at each step, aiming for local optimality without considering the global solution.
NEW QUESTION # 143
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