PERFECT AIGP EXAM BRAIN DUMPS GIVE YOU PASS-GUARANTEED STUDY MATERIALS - 2PASS4SURE

Perfect AIGP Exam Brain Dumps give you pass-guaranteed Study Materials - 2Pass4sure

Perfect AIGP Exam Brain Dumps give you pass-guaranteed Study Materials - 2Pass4sure

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IAPP Certified Artificial Intelligence Governance Professional AIGP exam dumps are available in an eBook and software format. Many people get burdened when they hear of preparing for a IAPP Certified Artificial Intelligence Governance Professional AIGP examination with software. IAPP AIGP Practice Exam software is easy to use. You don't need to have prior knowledge or training using our AIGP exam questions. IAPP AIGP exam dumps are user-friendly interfaces.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q107-Q112):

NEW QUESTION # 107
A company has trained an ML model primarily using synthetic data, and now intends to use live personal data to test the model.
Which of the following is NOT a best practice apply during the testing?

  • A. Testing should minimize human involvement to the extent practicable.
  • B. The test data should be anonymized to the extent practicable.
  • C. The test data should be representative of the expected operationaldata.
  • D. Testing should be performed specific to the intended uses.

Answer: A

Explanation:
Minimizing human involvement to the extent practicable is not a best practice during the testing of an ML model. Human oversight is crucial during testing to ensure that the model performs correctly and ethically, and to interpret any anomalies or issues that arise. Best practices include using representative test data, anonymizing data to the extent practicable, and performing testing specific to the intended uses of the model.
Reference: AIGP Body of Knowledge on AI Model Testing and Human Oversight.


NEW QUESTION # 108
Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

  • A. Legal and privacy governance experts.
  • B. Socio-cultural and technical experts.
  • C. Government regulators.
  • D. Data architects.

Answer: C

Explanation:
Typically, actors involved in the AI development life cycle include data architects (who design the data frameworks), socio-cultural and technical experts (who ensure the AI system is socio-culturally aware and technically sound), and legal and privacy governance experts (who handle the legal and privacy aspects).
Government regulators, while important, are not directly engaged in the development process but rather oversee and regulate the industry. Reference: AIGP BODY OF KNOWLEDGE and AI development frameworks.


NEW QUESTION # 109
Scenario:
A U.S.-based AI governance professional is evaluating resources from the National Institute of Standards and Technology (NIST) to guide the organization's AI risk assessment strategy. They are particularly interested in programs focused on assessing AI-specific impacts.
The main purpose of NIST's Assessing Risks and Impacts of AI (ARIA) program is to:

  • A. Offer a regulatory sandbox for risk reporting
  • B. Pilot new standards for AI red-teaming
  • C. Promote interoperability across AI systems
  • D. Provide a suite of resources to manage risks

Answer: D

Explanation:
The correct answer is A. The ARIA program by NIST is explicitly designed to support stakeholders in understanding and managing the risks and impacts of AI systems.
From the AIGP ILT Guide - U.S. Risk Frameworks Module:
"NIST's ARIA program develops and pilots assessment tools for AI risks and impacts, aimed at improving organizational capacity for responsible AI use." Also cited in the AI Governance in Practice Report 2024 (Frameworks Section):
"ARIA supports and aligns with the AI Risk Management Framework by helping organizations assess AI harms, safety concerns, and societal implications." ARIA is not a red-teaming or sandbox program-it's an assessment and governance resource.


NEW QUESTION # 110
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. A transparency notice.
  • B. Detailed terms of service.
  • C. Customer service support.
  • D. An opt-out mechanism.

Answer: A

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 # 111
Training data is best defined as a subset of data that is used to?

  • A. Fine-tune a model to improve accuracy and prevent overfitting.
  • B. Detect the initial sources of biases to mitigate prior to deployment.
  • C. Enable a model to detect and learn patterns.
  • D. Resemble the structure and statistical properties of production data.

Answer: C

Explanation:
Training data is used to enable a model to detect and learn patterns. During the training phase, the model learns from the labeled data, identifying patterns and relationships that it will later use to make predictions on new, unseen data. This process is fundamental in building an AI model's capability to perform tasks accurately. Reference: AIGP Body of Knowledge on Model Training and Pattern Recognition.


NEW QUESTION # 112
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