AIGP Exam dumps PDF | Exam-Dumps.net (Page: 3)

QUESTION: 17 Exam Topic: 1, Part 1

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?

To enable students to learn how to manage their time.
To enable students to learn about performing research.
To enable students to learn about practical applications of Al.
To enable students to learn how to use Al as a supportive educational tool.

Answer(s): D

Explanation:

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.

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QUESTION: 18 Exam Topic: 1, Part 1

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.

All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?

Content created by an LLM may be protectable under U.S. intellectual property law.
Generative Al is generally trained using intellectual property owned by third parties.
Students must expressly consent to this use of generative Al.
Generative Al often creates content without attribution.

Answer(s): C

Explanation:

All of the options listed may pose copyright risks when teachers use generative AI to create course content, except for students must expressly consent to this use of generative AI.
While obtaining student consent is essential for ethical and privacy reasons, it does not directly relate to copyright risks associated with the creation and use of AI-generated content.

Reference:

The AIGP Body of Knowledge discusses the importance of addressing intellectual property (IP) risks when using AI-generated content. Copyright risks are typically associated with the use of third-party data and the lack of attribution, rather than the consent of users.

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QUESTION: 19 Exam Topic: 1, Part 1

Random forest algorithms are in what type of machine learning model?

Symbolic.
Generative.
Discriminative.
Natural language processing.

Answer(s): C

Explanation:

Random forest algorithms are classified as discriminative models. Discriminative models are used to classify data by learning the boundaries between classes, which is the core functionality of random forest algorithms. They are used for classification and regression tasks by aggregating the results of multiple decision trees to make accurate predictions.

Reference:

The AIGP Body of Knowledge explains that discriminative models, including random forest algorithms, are designed to distinguish between different classes in the data, making them effective for various predictive modeling tasks.

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QUESTION: 20 Exam Topic: 1, Part 1

What is the 1956 Dartmouth summer research project on Al best known as?

A meeting focused on the impacts of the launch of the first mass-produced computer.
A research project on the impacts of technology on society.
A research project to create a test for machine intelligence.
A meeting focused on the founding of the Al field.

Answer(s): D

Explanation:

The 1956 Dartmouth summer research project on AI is best known as a meeting focused on the founding of the AI field. This conference is historically significant because it marked the formal beginning of artificial intelligence as an academic discipline. The term "artificial intelligence" was coined during this event, and it laid the foundation for future research and development in AI.

Reference:

The AIGP Body of Knowledge highlights the importance of the Dartmouth Conference as a pivotal moment in the history of AI, which established AI as a distinct field of study and research.

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QUESTION: 21 Exam Topic: 1, Part 1

What is the primary purpose of an Al impact assessment?

To define and evaluate the legal risks associated with developing an Al system.
Anticipate and manage the potential risks and harms of an Al system.
To define and document the roles and responsibilities of Al stakeholders.
To identify and measure the benefits of an Al system.

Answer(s): B

Explanation:

The primary purpose of an AI impact assessment is to anticipate and manage the potential risks and harms of an AI system. This includes identifying the possible negative outcomes and implementing measures to mitigate these risks. This process helps ensure that AI systems are developed and deployed in a manner that is ethically and socially responsible, addressing concerns such as bias, fairness, transparency, and accountability. The assessment often involves a thorough evaluation of the AI system's design, data inputs, outputs, and the potential impact on various stakeholders. This approach is crucial for maintaining public trust and adherence to regulatory requirements.

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QUESTION: 22 Exam Topic: 1, Part 1

What type of organizational risk is associated with Al's resource-intensive computing demands?

People risk.
Security risk.
Third-party risk.
Environmental risk.

Answer(s): D

Explanation:

AI's resource-intensive computing demands pose significant environmental risks. High-performance computing required for training and deploying AI models often leads to substantial energy consumption, which can result in increased carbon emissions and other environmental impacts. This is particularly relevant given the growing concern over climate change and the environmental footprint of technology. Organizations need to consider these environmental risks when developing AI systems, potentially exploring more energy-efficient methods and renewable energy sources to mitigate the environmental impact.

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QUESTION: 23 Exam Topic: 1, Part 1

Which of the following most encourages accountability over Al systems?

Determining the business objective and success criteria for the Al project.
Performing due diligence on third-party Al training and testing data.
Defining the roles and responsibilities of Al stakeholders.
Understanding Al legal and regulatory requirements.

Answer(s): C

Explanation:

Defining the roles and responsibilities of AI stakeholders is crucial for encouraging accountability over AI systems. Clear delineation of who is responsible for different aspects of the AI lifecycle ensures that there is a person or team accountable for monitoring, maintaining, and addressing issues that arise. This accountability framework helps in ensuring that ethical standards and regulatory requirements are met, and it facilitates transparency and traceability in AI operations. By assigning specific roles, organizations can better manage and mitigate risks associated with AI deployment and use.

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QUESTION: 24 Exam Topic: 1, Part 1

An Al system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as?

Robust.
Reliable.
Resilient.
Reinforced.

Answer(s): C

Explanation:

An AI system that maintains its level of performance within defined acceptable limits despite real- world or adversarial conditions is described as resilient. Resilience in AI refers to the system's ability to withstand and recover from unexpected challenges, such as cyber-attacks, hardware failures, or unusual input data. This characteristic ensures that the AI system can continue to function effectively and reliably in various conditions, maintaining performance and integrity. Robustness, on the other hand, focuses on the system's strength against errors, while reliability ensures consistent performance over time. Resilience combines these aspects with the capacity to adapt and recover.

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IAPP AIGP Exam (page: 3) IAPP Artificial Intelligence Governance Professional Updated on: 31-Mar-2026

QUESTION: 17 Exam Topic: 1, Part 1

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QUESTION: 18 Exam Topic: 1, Part 1

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QUESTION: 19 Exam Topic: 1, Part 1

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QUESTION: 20 Exam Topic: 1, Part 1

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QUESTION: 21 Exam Topic: 1, Part 1

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QUESTION: 22 Exam Topic: 1, Part 1

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QUESTION: 23 Exam Topic: 1, Part 1

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QUESTION: 24 Exam Topic: 1, Part 1

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IAPP AIGP Exam (page: 3)
IAPP Artificial Intelligence Governance Professional
Updated on: 31-Mar-2026