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| Section | Objectives |
|---|---|
| AI Lifecycle Governance Implementation | - Operational governance controls
|
| Foundations of AI Systems and Governance | - AI system concepts, lifecycle, and terminology
|
| Regulatory and Legal Frameworks for AI | - Global AI governance regulations
|
| AI Risk Management and Impact Assessment | - Risk identification and mitigation
|
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NEW QUESTION # 49
The White House Executive Order from November 2023 requires companies that develop dual- use foundation models to provide reports to the federal government about all of the following EXCEPT:
Answer: B
Explanation:
Under the White House Executive Order on Artificial Intelligence (EO 14110), companies developing dual-use foundation models are required to report specific information to the federal government. These requirements include:
1. Ongoing or planned activities related to training, developing, or producing dual-use foundation models, including physical and cybersecurity protections taken to assure the integrity of the training process against sophisticated threats.
2. Ownership and possession of the model weights of any dual-use foundation models, and the physical and cybersecurity measures taken to protect those model weights.
3. The results of any developed dual-use foundation model's performance in relevant AI red-team testing, including a description of any associated measures the company has taken to meet safety objectives, such as mitigations to improve performance on these red-team tests and strengthen overall model security.
4. Other information pertaining to the safety and reliability of dual-use foundation models, or activities or risks that present concerns to U.S. national security.
Notably, the EO does not mandate companies to conduct or report on environmental impact studies for each dual-use foundation model. Therefore, option C is not a required reporting obligation under the Executive Order.
NEW QUESTION # 50
The OECD's Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:
Answer: B
Explanation:
The OECD's Ethical AI Governance Framework emphasizes balancing AI innovation with ethical considerations to prevent societal harms while fostering technological progress.
NEW QUESTION # 51
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:
While risk management is important, the EU AI Act requires documenting the AI system's description, performance metrics appropriateness, and detailed technical elements, but not specifically the prioritization of deployment risks in the technical documentation.
NEW QUESTION # 52
CASE STUDY
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 Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-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 Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
The organization continues planning the adoption of an AI tool to support hiring, but is concerned about potential bias in content generated by AI systems and how that could affect public perception.
Which of the following measures should the company adopt tobest mitigate its risk of reputational harmfrom using the AI tool?
Answer: A
Explanation:
Note:This is the same scenario and question as Question 21 and thus has thesame correct answer: A. It's possible this was duplicated in your original input.
Repeated for clarity:
"Testing AI tools pre- and post-deployment helps ensure they perform as expected and do not introduce bias, privacy issues, or fairness concerns. This mitigates reputational and legal risk." TheAI Governance in Practice Report 2025further reinforces:
"Ongoing monitoring and testing post-deployment allows organizations to catch and correct unintended impacts... especially important in HR and hiring contexts."
NEW QUESTION # 53
CASE STUDY
Please use the following to answer the next question:
A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. The company has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM").
The company intends to use its historical customer data - including applications, policies and claims - and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review.
The company and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. They have designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness and reliability of its output.
After the first month in production, the company realizes that the LLM declines a higher percentage of women's applications.
During the first month when the company monitors the model for bias, it is most important to:
Answer: B
Explanation:
During initial production monitoring, the most important action is to continue disparity testing to detect and quantify whether the model is producing biased outcomes across protected groups.
This directly aligns with the goal of evaluating fairness, accuracy, and reliability, enabling the organization to identify and respond to discriminatory patterns early.
NEW QUESTION # 54
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