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Exam AIGP Preparation | AIGP Detailed Study Dumps
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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q137-Q142):
NEW QUESTION # 137
If it is possible to provide a rationale for a specific output of an Al system, that system can best be described as?
- A. Transparent.
- B. Explainable.
- C. Accountable.
- D. Reliable.
Answer: B
Explanation:
If it is possible to provide a rationale for a specific output of an AI system, that system can best be described as explainable. Explainability in AI refers to the ability to interpret and understand the decision-making process of the AI system. This involves being able to articulate the factors and logic that led to a particular output or decision. Explainability is critical for building trust, enabling users to understand and validate the AI system's actions, and ensuring compliance with ethical and regulatory standards. It also facilitates debugging and improving the system by providing insights into its behavior.
NEW QUESTION # 138
Which of the following is an example of a high-risk application under the EU AI Act?
- A. A customer service chatbot tool.
- B. An AI-enabled inventory management tool.
- C. A resume scanning tool that ranks applicants.
- D. A government-run social scoring tool.
Answer: C
NEW QUESTION # 139
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?
- A. A pop-up message that alerts patients when they are interacting with a chatbot.
- B. A label at the bottom of patient summaries that indicates an AI tool assisted in generating the summary.
- C. A model card provided to healthcare providers.
- D. A link to the company ' s AI policy and AI code of conduct clearly placed on the company ' s website.
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 # 140
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.
Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?
- A. Continue to require the company's hiring personnel to manually screen all applicants.
- B. Require the procurement and deployment teams to agree upon the AI tool.
- C. Ensure the vendor provides indemnification for the AI tool.
- D. Test the AI tool pre- and post-deployment.
Answer: D
Explanation:
Testing the AI tool before and after deployment helps identify biases and errors early, reducing the risk of reputational harm by ensuring the system performs fairly and reliably.
NEW QUESTION # 141
The OECD's Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:
- A. Defining ethical requirements specific to each industry sector and high-risk AI domain.
- B. Establishing explainability criteria to ethically source and use data to train AI systems
- C. Focusing on ethical AI technical design and post-deployment monitoring
- D. Balancing AI innovation with ethical considerations.
Answer: D
Explanation:
The OECD's Ethical AI Governance Framework emphasizes balancing innovation with ethical considerations to prevent societal harms through responsible AI governance.
NEW QUESTION # 142
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