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IAPP AIGP Prüfungsplan:

Thema	Einzelheiten
Thema 1	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.
Thema 2	Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Thema 3	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

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AIGP: IAPP Certified Artificial Intelligence Governance Professional Dumps & PassGuide AIGP Examen

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IAPP Certified Artificial Intelligence Governance Professional AIGP Prüfungsfragen mit Lösungen (Q76-Q81):

76. Frage
Machine learning is best described as a type of algorithm by which?

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

Antwort: D

Begründung:
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.

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

Antwort: D

Begründung:
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.

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

Antwort: A

Begründung:
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).

79. Frage
Which of the following steps occurs in the design phase of the Al life cycle?

A. Data augmentation.
B. Performance evaluation.
C. Risk impact estimation.
D. Model explainability.

Antwort: C

Begründung:
Risk impact estimation occurs in the design phase of the AI life cycle. This step involves evaluating potential risks associated with the AI system and estimating their impacts to ensure that appropriate mitigation strategies are in place. It helps in identifying and addressing potential issues early in the design process, ensuring the development of a robust and reliable AI system. Reference: AIGP Body of Knowledge on AI Design and Risk Management.

80. Frage
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.
In particular, GVC has learned that the teachers they employ used open source large language models ("LLM") to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
What is the best reason for GVC to offer students the choice to utilize generative Al in limited, defined circumstances?

A. Toenable students to learn about performing research.
B. Toenable students to learn how to use Al as a supportive educational tool.
C. Toenable students to learn how to manage their time.
D. Toenable students to learn about practical applications of Al.

Antwort: B

Begründung:
The best reason for GVC to offer students the choice to utilize generative AI in limited, defined circumstances is to enable students to learn how to use AI as a supportive educational tool. By integrating AI in a controlled manner, students can learn the practical applications of AI and develop skills to use AI responsibly and effectively in their educational pursuits.
Reference: The AIGP Body of Knowledge highlights the importance of teaching students about AI's practical applications and the responsible use of AI technologies. This aligns with the goal of fostering a better understanding of AI's role and its potential benefits in various contexts, including education.

81. Frage
......

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AIGP: IAPP Certified Artificial Intelligence Governance Professional Dumps & PassGuide AIGP Examen

IAPP Certified Artificial Intelligence Governance Professional AIGP Prüfungsfragen mit Lösungen (Q76-Q81):

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