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| Section | Objectives |
|---|---|
| Topic 1: AI Governance Management | - Life Cycle Management
|
| Topic 2: AI Risk Management | - Risk Frameworks and Standards
|
| Topic 3: AI Governance Implementation | - Organizational Governance
|
| Topic 4: AI Laws, Regulations, and Standards | - Global AI Frameworks
|
| Topic 5: Foundations of AI Governance | - AI Governance Fundamentals
|
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NEW QUESTION # 109
CASE STUDY
Please use the following to answer the next question:
A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
To address these concerns, the company is considering using a third-party AI tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party AI-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company deploy technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by AI hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the AI hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
If the company does not deploy and use the AI hiring tool responsibly in the United States, its liability would likely increase under all of the following laws EXCEPT:
Answer: D
Explanation:
Product liability laws typically apply to manufacturers and sellers of products, not directly to companies deploying AI tools internally; the other laws relate directly to the company's responsibilities in using AI for hiring.
NEW QUESTION # 110
CASE STUDY
Please use the following to answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative AI to create the enrichment courses, and that many of the students are using generative AI to complete their assignments.
In particular, GVC has learned that the teachers they employ used open source large language models ("LLM") to develop an online tool that customizes study questions for individual students.
GVC has also discovered that an art teacher has expressly incorporated the use of generative AI into the curriculum to enable students to use prompts to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative AI, including by teachers and students, going forward.
What is the best reason for GVC to offer students the choice to utilize generative AI in limited, defined circumstances?
Answer: A
Explanation:
Allowing limited use of generative AI helps students learn how to use AI responsibly and effectively as a supportive tool in their education.
NEW QUESTION # 111
Scenario:
A European AI technology company was found to be non-compliant with certain provisions of the EU AI Act. The regulator is considering penalties under the enforcement provisions of the regulation.
According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to โฌ15 million or 3% of annual worldwide turnover(whichever is higher)?
Answer: A
Explanation:
The correct answer isB. The EU AI Act assigns atiered penalty systembased on the severity of the violation. A breach ofobligations related to high-risk AI systemsfalls into the mid-tier category, triggering fines of โฌ15 million or 3% of annual global turnover.
From the AIGP ILT Guide - EU AI Act Module:
"Providers of high-risk AI systems must comply with strict documentation, testing, monitoring, and registration obligations. Breaches of these result in significant fines of up to โฌ15 million or 3% of turnover." AI Governance in Practice Report 2025 supports this:
"Non-compliance with obligations under Title III (high-risk systems) leads to financial penalties under Article 71(3) of the EU AI Act." Note: Thehighest penalty (โฌ35 million or 7%)applies toprohibited AI uses, not to obligations for high-risk systems.
NEW QUESTION # 112
According to the EU Al Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?
Answer: C
Explanation:
According to the EU AI Act, providers of high-risk AI systems are required to register with an EU oversight agency before these systems can be placed on the market. This requirement is part of the Act's framework to ensure that high-risk AI systems comply with stringent safety, transparency,and accountabilitystandards. High- risk systems are those that pose significant risks to health, safety, or fundamental rights. Registration with oversight agencies helps facilitate ongoing monitoring and enforcement of compliance with the Act's provisions. Systems categorized under other criteria, such as those trained on sensitive personal data or exhibiting "strong" general intelligence, also fall under scrutiny but are primarily covered under different regulatory requirements or classifications.
NEW QUESTION # 113
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?
Answer: B
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 Report2025:
"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 # 114
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