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Exam AIGP Collection Pdf, Exam AIGP Vce

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IAPP AIGP Exam Syllabus Topics:

Topic
Details

Topic 1

Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.

Topic 2

Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

Topic 3

Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q86-Q91):

NEW QUESTION # 86
According to the GDPR's transparency principle, when an Al system processes personal data in automated decision-making, controllers are required to provide data subjects specific information on?

A. The data protection impact assessments carried out on the Al system and legal bases for processing.
B. The existence of automated decision-making and meaningful information on its logic and consequences.
C. The personal data used during processing, including inferences drawn by the Al system about the data.
D. The contact details of the data protection officer and the data protection national authority.

Answer: B

Explanation:
The GDPR's transparency principle requires that when personal data is processed for automated decision- making, including profiling, data subjects must be informed about the existence of such automated decision- making. Additionally, they must be provided with meaningful information about the logic involved, as well as the significance and the envisaged consequences of such processing for them. This requirement ensures that data subjects are fully aware of how their personal data is being used and the potential impacts, thereby promoting transparency and trust in the processing activities.

NEW QUESTION # 87
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC 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 tA. human underwriter for final review.
ABC 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. ABC has 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, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
The best approach to enable a customer who wants information on the Al model's parameters for underwriting purposes is to provide?

A. Customer service support.
B. An opt-out mechanism.
C. Detailed terms of service.
D. A transparency notice.

Answer: D

Explanation:
The best approach to enable a customer who wants information on the AI model's parameters for underwriting purposes is to provide a transparency notice. This notice should explain the nature of the AI system, how it uses customer data, and the decision-making process it follows. Providing a transparency notice is crucial for maintaining trust and compliance with regulatory requirements regarding the transparency and accountability of AI systems.
Reference: According to the AIGP Body of Knowledge, transparency in AI systems is essential to ensure that stakeholders, including customers, understand how their data is being used and how decisions are made. This aligns with ethical principles of AI governance, ensuring that customers are informed and can make knowledgeable decisions regarding their interactions with AI systems.

NEW QUESTION # 88
What is the best reason for a company adopt a policy that prohibits the use of generative Al?

A. Avoid accidental disclosure to its confidential and proprietary information.
B. Avoid using technology that cannot be monetized.
C. Avoid needing to identify and hire qualified resources.
D. Avoid the time necessary to train employees on acceptable use.

Answer: A

Explanation:
The primary concern for a company adopting a policy prohibiting the use of generative AI is the risk of accidental disclosure of confidential and proprietary information. Generative AI tools can inadvertently leak sensitive data during the creation process or through data sharing. This risk outweighs the other reasons listed, as protecting sensitive information is critical to maintaining the company's competitive edge and legal compliance. This rationale is discussed in the sections on risk management and data privacy in the IAPP AIGP Body of Knowledge.

NEW QUESTION # 89
What is the primary reason the EU is considering updates to its Product Liability Directive?

A. To define new liability exemptions for defective products.
B. To increase the minimum warranty level for defective goods.
C. Address digital services and connected products.
D. Address free and open-source software.

Answer: C

Explanation:
The primary reason the EU is considering updates to its Product Liability Directive is to address digital services and connected products. The current directive does not adequately cover the complexities and challenges posed by modern digital and connected technologies. By updating the directive, the EU aims to ensure that it remains relevant and effective in addressing the liabilities associated with these advanced products, ensuring consumer protection and fair market practices in the digital age.

NEW QUESTION # 90
What type of organizational risk is associated with Al's resource-intensive computing demands?

A. Environmental risk.
B. Third-party risk.
C. People risk.
D. Security risk.

Answer: A

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.

NEW QUESTION # 91
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