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| Section | Weight | Objectives |
|---|---|---|
| Laws, Regulations, Standards and Frameworks | 24โ28% | - Global and regional regulations (EU AI Act, US, etc.) - International standards (ISO 42001, NIST AI RMF, etc.) - Sector-specific requirements and compliance obligations - Alignment with data protection and privacy laws |
| Governance of AI Development | 21โ25% | - Model management, version control and quality assurance - Governance through design and lifecycle management - Requirements gathering, risk assessment and mitigation - Testing, validation, documentation and transparency |
| Governance of AI Deployment and Use | 21โ25% | - Lifecycle maintenance, decommissioning and updates - Selection, procurement and third-party management - Incident response, accountability and audit - Implementation, monitoring and ongoing oversight |
| Foundational Concepts of AI Governance | 24โ28% | - Principles of responsible, ethical and trustworthy AI - Governance frameworks and core concepts - Fundamental AI definitions, types and characteristics - Impacts, risks and benefits of AI systems |
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NEW QUESTION # 135
Scenario:
A distributor operating in the EU is responsible for selling imported high-risk AI systems to businesses. The distributor wants to ensure they fulfill all applicable obligations under the EU AI Act.
All of the following are obligations of a distributor of high-risk AI systems under the EU AI Act EXCEPT?
Answer: B
Explanation:
The correct answer isC.Registration in the EU databaseis an obligation ofprovidersof high-risk AI systems- not distributors.
From the AIGP ILT Guide - Roles & Obligations Module:
"Distributors must verify CE marking, ensure instructions for use are provided, inform authorities of risks, and take corrective action when necessary. However, registration duties in the EU database lie with the provider." Also from the AI Governance in Practice Report2025:
"The AI Act differentiates responsibilities for developers, providers, importers, and distributors. Only providers of high-risk systems are obligated to register their systems in the EU AI Database." Distributors focus onverification and communication, not formal registration.
NEW QUESTION # 136
WonderTemp, a temporary staffing company, terminated most of its employees after implementing a virtual assistant to help write emails, policies and marketing materials, and answer client questions. Three months later, WonderTemp learns that four of its biggest clients are not renewing their contracts because the work product from WonderTemp is full of inaccuracies. Based on these facts, what type(s) of harm has WonderTemp suffered as a result of their reliance on the virtual assistant?
Answer: C
NEW QUESTION # 137
Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?
Answer: C
Explanation:
Data aggregators are third parties that collect and license data from various sources. They are responsible for ensuring thelawful collectionandproper usage rightsof the data they distribute - especially when such data is used to train foundational AI models.
From theAI Governance in Practice Report 2025:
"As organizations have neither proximity to how third-party data was first collected nor direct control over the data governance practices of third parties, an organization can benefit from carrying out its own legal due diligence and third-party risk management." (p. 19)
"Legal due diligence may include verification of the personal data ' s lawful collection by the databroker..." (p. 19) This confirms thatdata aggregatorsbear the legal and ethical burden to verify that data has been lawfully collected and is appropriately licensed for use, including in AI training.
* A. The marketing agencyandD. its clientmay use data, but they rely on upstream providers for its lawful origin.
* B. The tech companymay train the model but depends on lawful sourcing by data aggregators.
NEW QUESTION # 138
CASE STUDY
Please use the following to answer the next question:
A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records to a radiologist for secondary review pursuant to agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has:
- Defined its AI ethical principles.
- Conducted discovery to identify the intended uses and success
criteria for the system.
- Established an AI risk committee.
- Assembled a cross-functional team with clear roles and
responsibilities.
- Created policies and procedures to document standards, workflows,
timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution. It also intends to retain a large consulting firm to supplement its small data science team and help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
What is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?
Answer: D
Explanation:
Identifying fits and gaps in the combined data is crucial to understand whether the datasets are compatible and sufficient for training the AI model effectively.
NEW QUESTION # 139
The framework set forth in the White House Blueprint for an AI Bill of Rights addresses all of the following EXCEPT:
Answer: B
Explanation:
The White House's Blueprint for an AI Bill of Rights outlines five key principles to guide the design, use, and deployment of automated systems:
1. Safe and Effective Systems
2. Algorithmic Discrimination Protections
3. Data Privacy
4. Notice and Explanation
5. Human Alternatives, Consideration, and Fallback
It does not specifically include "High-risk mitigation standards" as a standalone principle. While the Blueprint emphasizes the importance of identifying and mitigating risks associated with automated systems, it does not explicitly label this as a separate principle.
NEW QUESTION # 140
......
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