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| Section | Weight | Objectives |
|---|---|---|
| Laws, Regulations, Standards and Frameworks | 24–28% | - Sector-specific requirements and compliance obligations - Alignment with data protection and privacy laws - Global and regional regulations (EU AI Act, US, etc.) - International standards (ISO 42001, NIST AI RMF, etc.) |
| Foundational Concepts of AI Governance | 24–28% | - Fundamental AI definitions, types and characteristics - Impacts, risks and benefits of AI systems - Principles of responsible, ethical and trustworthy AI - Governance frameworks and core concepts |
| Governance of AI Development | 21–25% | - Requirements gathering, risk assessment and mitigation - Testing, validation, documentation and transparency - Governance through design and lifecycle management - Model management, version control and quality assurance |
| Governance of AI Deployment and Use | 21–25% | - Selection, procurement and third-party management - Lifecycle maintenance, decommissioning and updates - Incident response, accountability and audit - Implementation, monitoring and ongoing oversight |
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NEW QUESTION # 106
All of the following are reasons to deploy a challenger AI model in addition to a champion AI model EXCEPT to:
Answer: C
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 # 107
Which of the following elements of feature engineering is most important to mitigate the potential bias in an AI system?
Answer: D
Explanation:
Feature selection is crucial to mitigate bias by carefully choosing attributes that do not introduce unfair or discriminatory information into the AI model.
NEW QUESTION # 108
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?
Answer: A
Explanation:
Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference:
AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.
g., text recognition, detecting spam in emails).
NEW QUESTION # 109
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
All of the following are obligations of the company as a data controller when implementing its AI system EXCEPT?
Answer: C
Explanation:
The correct answer isA. While location of processors may have implications (such as for data transfers under GDPR), thereis noabsoluterequirement thatthird-party processors be based in the same country.
From the AI Governance in Practice Report2025and ILT Guide:
"Data controllers are responsible for ensuring that third-party processors have adequate protections, but not necessarily that they reside in the same jurisdiction. What is required is legal safeguards (e.g., SCCs) for international transfers, not same-country location." In contrast, DPIAs, DSARs, and implementation of technical/organizational safeguardsare explicitlyrequired underGDPR and responsible AI frameworks.
NEW QUESTION # 110
An artist has been using an Al 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?
Answer: D
Explanation:
For the artist to receive copyright protection, the most effective approach is to demonstrate that the final artwork includes sufficient creative input by the artist. By updating or altering the images in a way that reflects the artist's personal creativity, the artist can claim originality, which is a core requirement for copyright protection under U.S. law. The other options do not directly address the originality and creative input required for copyright. This is highlighted in the sections on copyright protection in the IAPP AIGP Body of Knowledge.
NEW QUESTION # 111
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