最新のAIGP問題集で試験を準備する

Scenario:
An organization is developing a powerful general-purpose AI (GPAI) model that has systemic impact. The compliance team is assessing what legal obligations apply under the EU AI Act.
Under the EU AI Act, which of the following compliance actions appliesonly to General Purpose AI models with systemic risk?

• A. Implementing an intellectual property policy to comply with EU copyright laws
• B. Maintaining up-to-date technical documentation, including testing details
• C. Publishing a detailed summary of the data used to train the model
• D. Making information available to downstream providers who integrate the model into their AI systems

Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?

• A. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
• B. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact
• C. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture
• D. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model

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?

• A. Ensure the vendor provides indemnification for the AI tool
• B. Continue to require the company's hiring personnel to manually screen all applicants
• C. Require the procurement and deployment teams to agree upon the AI tool
• D. Test the AI tool pre- and post-deployment

You are an engineer that developed an Al-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool's effectiveness?

• A. GPU performance, to evaluate the tool's robustness.
• B. Algorithmic patterns, to show the model has a high degree of accuracy.
• C. Output data, assess the delta between the prediction and actual ad clicks.
• D. Input data, to ensure the ads are reaching the target audience.

CASE STUDY
Please use the following to answer the next question:
A small local flower delivery company operates a few stores and has a limited IT budget. To reduce the time spent on customer service, which is a major drain on employee time, the company plans to implement a simple but high-performance generative AI chatbot on its website. The chatbot will provide real-time, fact-based responses to customer inquiries and assist with order processing, helping to reduce incoming phone calls.
The company currently uses a single on-premises server for its order database and email system and has not yet partnered with a cloud provider.
An internal data privacy policy governs the use of customer dat
a. This policy, written before the adoption of AI, allows the use or transfer of customer data beyond name and contact information but requires that all such data be deleted after the order is completed. The company prefers to maintain this policy without changes.
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
Which of the following actions would necessitate a change to the company's privacy policy?

• A. The chatbot deployed on the company's website also scans the customer's appearance during use for signs of frustration or confusion while using the website.
• B. The chatbot stores inputs for use in Retrieval-Augmented Generation (RAG), but does not use those inputs for retraining the AI model.
• C. Programming the chatbot to request the customer's name, telephone number, and address for order deliveries and keeping that data until after delivery of the product has been confirmed.
• D. The flower shop transfers customer data to the third-party API running the chatbot so that the chatbot service can work as intended during each user session.
• E. Using data from each customer session with the chatbot for purposes of retraining the underlying model but deleting that data after each customer order is completed.