Minimum AIGP Pass Score, AIGP Test Sample Questions

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q133-Q138):

NEW QUESTION # 133
During the planning and design phases of the Al development life cycle, bias can be reduced by all of the following EXCEPT?

A. Human oversight.
B. Feature selection.
C. Stakeholder involvement.
D. Data collection.

Answer: B

Explanation:
Bias in AI can be reduced during the planning and design phases through stakeholder involvement, human oversight, and careful data collection. While feature selection is critical in the development phase, it does not specifically occur during planning and design. Ensuring diverse stakeholder involvement and human oversight helps identify and mitigate potential biases early, and data collection ensures a representative dataset.
Reference: AIGP Body of Knowledge on AI Development Lifecycle and Bias Mitigation.

NEW QUESTION # 134
Which of the following are not considered biometric data under U.S. privacy laws?

A. Walking gait
B. GPS location of a user's fitness watch
C. Keystroke dynamics
D. Iris scans

Answer: B

Explanation:
The correct answer is D. GPS location data is not biometric data-it is considered geolocation data, which is personal data but not biometric under most U.S. laws.
From the AIGP ILT Guide (Data Privacy Module):
"Biometric data includes measurable biological or behavioral characteristics such as iris scans, facial recognition, voice prints, and keystroke patterns when used for identification." AI Governance in Practice Report 2024 (Privacy and Data Protection section):
"Location data, while sensitive, is not considered biometric unless it's tied to a uniquely identifying biological trait." Thus, GPS location data, while potentially sensitive, is not classified as biometric.

NEW QUESTION # 135
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. An opt-out mechanism.
C. Detailed terms of service.
D. Customer service support.

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 # 136
Which of the following deployments of generative Al best respects intellectual property rights?

A. The system produces content that is modified to closely resemble copyrightedwork.
B. The system produces content that includes trademarks and copyrights.
C. The system provides attribution to creators of publicly available information.
D. The system categorizes and applies filters to content based on licensing terms.

Answer: D

Explanation:
Respecting intellectual property rights means adhering to licensing terms and ensuring that generated content complies with these terms. A system that categorizes and applies filters based on licensing terms ensures that content is used legally and ethically, respecting the rights of content creators. While providing attribution is important, categorization and application of filters based on licensing terms are more directly tied to compliance with intellectual property laws. This principle is elaborated in the IAPP AIGP Body of Knowledge sections on intellectual property and compliance.

NEW QUESTION # 137
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT?

A. Data loss.
B. System cost.
C. Feature drift.
D. Model drift.

Answer: B

Explanation:
When monitoring the functional performance of a model deployed into production, concerns typically include feature drift, model drift, and data loss. Feature drift refers to changes in the input features that can affect the model's predictions. Model drift is when the model's performance degrades over time due to changes in the data or environment. Data loss can impact the accuracy and reliability of the model. However, system cost, while important for budgeting and financial planning, is not a direct concern when monitoring the functional performance of a deployed model. Reference: AIGP Body of Knowledge on Model Monitoring and Maintenance.

NEW QUESTION # 138
......

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Minimum AIGP Pass Score, AIGP Test Sample Questions

Free PDF Quiz 2025 AIGP: Updated Minimum IAPP Certified Artificial Intelligence Governance Professional Pass Score

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q133-Q138):

100% Pass Quiz 2025 IAPP AIGP: IAPP Certified Artificial Intelligence Governance Professional – Trustable Minimum Pass Score

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