Knowledge AIGP Points & AIGP Reliable Test Questions

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The IAPP Certified Artificial Intelligence Governance Professional (AIGP) certification examination is an essential component of professional development, and passing this IAPP AIGP test can increase career options and a rise in salary. Nonetheless, getting ready for the Prepare for your AIGP Exam may be difficult, and many working professionals have trouble locating the AIGP practice questions they need to succeed in this endeavor.

IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 2	Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and copyright’s Bill C-27.
Topic 3	Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 4	Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.
Topic 5	Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.
Topic 6	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

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AIGP Reliable Test Questions | Reliable AIGP Exam Testking

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q30-Q35):

NEW QUESTION # 30
CASE STUDY
Please use the following answer the next question:
XYZ Corp., 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.
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 are responsible for integrating and deploying 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.
Which of the following measures should XYZ adopt to best mitigate its risk of reputational harm from using the Al tool?

A. Test the Al tool pre- and post-deployment.
B. Continue to require XYZ's hiring personnel to manually screen all applicants.
C. Ensure the vendor assumes responsibility for all damages.
D. Direct the procurement team to select the most economical Al tool.

Answer: A

Explanation:
To mitigate the risk of reputational harm from using an AI hiring tool, XYZ Corp should rigorously test the AI tool both before and after deployment. Pre-deployment testing ensures the tool works correctly and does not introduce bias or other issues. Post-deployment testing ensures the tool continues to operate as intended and adapts to any changes in data or usage patterns. This approach helps to identify and address potential issues proactively, thereby reducing the risk of reputational harm. Ensuring the vendor assumes responsibility for damages (B) does not address the root cause of potential issues, selecting the most economical tool (C) may compromise quality, and continuing manual screening (D) defeats the purpose of using the AI tool.

NEW QUESTION # 31
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?

A. The physical and cybersecurity protection measures of their dual-use foundation models.
B. The results of red-team testing of each dual-use foundation model.
C. Any current training or development of dual-use foundation models.
D. Any environmental impact study for each dual-use foundation model.

Answer: D

Explanation:
The White House Executive Order from November 2023 requires companies developing dual-use foundation models to report on their current training or development activities, the results of red-team testing, and the physical and cybersecurity protection measures. However, it does not mandate reports on environmental impact studies for each dual-use foundation model. While environmental considerations are important, they are not specified in this context as a reporting requirement under this Executive Order.
Reference: AIGP BODY OF KNOWLEDGE, sections on compliance and reporting requirements, and the White House Executive Order of November 2023.

NEW QUESTION # 32
Machine learning is best described as a type of algorithm by which?

A. Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
B. Systems can mimic human intelligence with the goal of replacing humans.
C. Systems can automatically improve from experience through predictive patterns.
D. Previously unknown properties are discovered in data and used to predict and make improvements in the data.

Answer: C

Explanation:
Machine learning (ML) is a subset of artificial intelligence (AI) where systems use data to learn and improve over time without being explicitly programmed. Option B accurately describes machine learning by stating that systems can automatically improve from experience through predictive patterns. This aligns with the fundamental concept of ML where algorithms analyze data, recognize patterns, and make decisions with minimal human intervention. Reference: AIGP BODY OF KNOWLEDGE, which covers the basics of AI and machine learning concepts.

NEW QUESTION # 33
An EU bank intends to launch a multi-modal Al platform for customer engagement and automated decision-making assist with the opening of bank accounts. The platform has been subject to thorough risk assessments and testing, where it proves to be effective in not discriminating against any individual on the basis of a protected class.
What additional obligations must the bank fulfill prior to deployment?

A. The bank must obtain explicit consent from users under the privacy Directive.
B. The bank must disclose how the Al system works under the Ell Digital Services Act.
C. The bank must disclose the use of the Al system and implement suitable measures for users to contest automated decision-making.
D. The bank must subject the Al system an adequacy decision and publish its appropriate safeguards.

Answer: C

Explanation:
Under the EU regulations, particularly the GDPR, banks using AI for decision-making must inform users about the use of AI and provide mechanisms for users to contest decisions. This is part of ensuring transparency and accountability in automated processing. Explicit consent under the privacy directive (A) and disclosing under the Digital Services Act (B) are not specifically required in this context. An adequacy decision is related to data transfers outside the EU (C).

NEW QUESTION # 34
Under the Canadian Artificial Intelligence and Data Act, when must the Minister of Innovation, Science and Industry be notified about a high-impact Al system?

A. When the algorithmic impact assessment has been completed.
B. Upon initial deployment of the system.
C. Upon release of a new version of the system.
D. When use of the system causes or is likely to cause material harm.

Answer: B

Explanation:
According to the Canadian Artificial Intelligence and Data Act, high-impact AI systems must notify the Minister of Innovation, Science and Industry upon initial deployment. This requirement ensures that the authorities are aware of the deployment of significant AI systems and can monitor their impacts and compliance with regulatory standards from the outset. This initial notification is crucial for maintaining oversight and ensuring the responsible use of AI technologies. Reference: AIGP Body of Knowledge, domain on AI laws and standards.

NEW QUESTION # 35
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KNOWLEDGE AIGP POINTS & AIGP RELIABLE TEST QUESTIONS

Knowledge AIGP Points & AIGP Reliable Test Questions