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| Section | Objectives |
|---|---|
| Topic 1: AI Governance Implementation | - Organizational Governance
|
| Topic 2: AI Laws, Regulations, and Standards | - Global AI Frameworks
|
| Topic 3: AI Risk Management | - Operationalizing Risk Management
|
| Topic 4: Foundations of AI Governance | - AI Governance Fundamentals
|
| Topic 5: AI Governance Management | - Life Cycle Management
|
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NEW QUESTION # 69
Sam Simon is charged with implementing an AI governance program at his company, Spenger Inc. The company has implemented some AI systems already but has not really considered the risks involved and wants to ensure it has solid procedures and policies in place.
Sam researches how to build an AI governance program, including talking with some of the company's other risk management professionals and the legal department to determine the best way to begin. Sam knows an algorithmic impact assessment is necessary to manage AI risks and adopt responsible, ethical AI practices, but he is not sure where to begin.
Which of the following options will help ensure the assessment is both appropriate and effective.
What should Sam do first?
Answer: A
NEW QUESTION # 70
CASE STUDY
Please use the following to answer the next question:
You have recently assumed the role of AI Governance leader for a California-based medical technology company. The organization primarily serves hospitals and has recently expanded to include walk-in clinics located within local pharmacies.
The company ' s core business focuses on diagnostic assistance powered by a large language model LLM and back-office process optimization using Agentic AI, including chatbots, medical record request handling, scheduling and billing.
In preparation for its next round of funding, the board has asked you to prepare an AI Risk report to demonstrate to investors how the company is addressing AI-related risks. In preparing the report you learn that last year the company generated 30 million dollars in gross revenue across the US, EU, India, and South Korea and that vendors are engaged for various activities, including model testing and providing third-party AI solutions for chatbots.
Which of the following responses is least likely to meet mandatory transparency requirements in any of the applicable laws?
Answer: D
Explanation:
The correct answer is C because simply publishing a general AI policy or code of conduct does not satisfy specific transparency obligations required by AI regulations. Transparency requirements focus on providing clear, context-specific disclosures to affected individuals about how AI is being used, particularly when it directly impacts them. For example, notifying users when they are interacting with an AI system or labeling AI-generated content are explicit transparency measures aligned with regulatory expectations. The AI Governance in Practice Report highlights that transparency includes informing users when they interact with AI systems and providing meaningful information about outputs and system behavior . Model cards and labels support system-level and output-level transparency, while real-time notices ensure user awareness. In contrast, a general policy link lacks immediacy, specificity, and user relevance, making it insufficient for mandatory transparency compliance.
NEW QUESTION # 71
A shipping service based in the US is looking to expand its operations into the EU. It utilizes an in-house developed multimodal AI model that analyzes all personal data collected from shipping senders and recipients, and optimizes shipping routes and schedules based on this data.
As they expand into the EU, all of the following descriptions should be included in the technical documentation for their AI model EXCEPT?
Answer: B
Explanation:
The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.
From theAI Governance in Practice Report 2024:
"It mandates drawing up technical documentation... must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process." (p. 34)
"Documentation... includes training, testing, evaluation procedures, andappropriateness of performance metrics." (p. 34-35) Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.
Thus:
* A, C, and Dare explicitly required in thetechnical documentation.
* B, while important, is part of therisk management process, not a required section oftechnical documentation.
NEW QUESTION # 72
Scenario:
A company is using different types of AI systems to enhance consumer engagement. These include chatbots, recommendation engines, and automated content generation tools.
Which of the following situations would be least likely to raise concerns under existing consumer protection laws?
Answer: B
Explanation:
The correct answer is D. Personalized content and advertisements, as long as properly disclosed and non- deceptive, are not generally a consumer protection issue under current legal regimes.
From the AI Governance in Practice Report 2024 (Consumer Protection Section):
"Standard practices like targeted advertising and recommendations are widely accepted provided they comply with transparency and consent requirements." Meanwhile, credit decision-making and misleading AI performance claims (Answers A and B) have already led to regulatory enforcement.
The AIGP ILT Guide highlights:
"Deceptive claims, biased financial decisions, and unauthorized data use may violate consumer protection and privacy laws. Advertising personalization is routine but must be disclosed appropriately."
NEW QUESTION # 73
When evaluating which AI use cases to implement, an organization should consider all of the following EXCEPT:
Answer: B
Explanation:
TEVV (testing, evaluation, verification, and validation) metrics apply after a use case is selected and designed. They are not a primary factor when initially evaluating which AI use cases to pursue.
NEW QUESTION # 74
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