Free IAPP AIGP Dumps - AIGP Exam Cram Pdf

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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 2	Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 3	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.
Topic 4	Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 5	Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 6	Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q150-Q155):

NEW QUESTION # 150
Which of the following deployments of generative Al best respects intellectual property rights?

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

Answer: C

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 # 151
All of the following are reasons to deploy a challenger Al model in addition a champion Al model EXCEPT to?

A. Provide a framework to consider alternatives to the champion model.
B. Retrain the champion model.
C. Perform testing on the champion model.
D. Automate real-time monitoring of the champion model.

Answer: B

Explanation:
Deploying a challenger AI model alongside a champion model is a strategy used to compare the performance of different models in a real-world environment. This approach helps in providing a framework to consider alternatives to the champion model, automating real-time monitoring of the champion model, and performing testing on the champion model. However, retraining the champion model is not a reason to deploy a challenger model. Retraining is a separate process that involves updating the champion model with new data or techniques, which is not related to the use of a challenger model.
Reference: AIGP BODY OF KNOWLEDGE, sections on model evaluation and management.

NEW QUESTION # 152
What is the most important factor when deciding whether or not to select a proprietary AI model?

A. Whether its training data is disclosed.
B. What business purpose it will serve.
C. How frequently it will be updated.
D. Whether its system card identifies risks.

Answer: B

Explanation:
Theprimary considerationin selecting any AI system, especially aproprietary model, is itsfit for business purpose. Whether it serves the intended goals is foundational before evaluating technical or governance features.
From theAI Governance in Practice Report 2024:
"AI governance starts with defining the corporate strategy for AI... and aligning systems with business purpose and operational context." (p. 11)
* B, C, Dare relevant for evaluation, but onlyafterconfirming business applicability.

NEW QUESTION # 153
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
Which of the following steps can best mitigate the possibility of discrimination prior to training and testing the Al solution?

A. Engage a third party to perform an audit.
B. Perform an impact assessment.
C. Procure more data from clinical research partners.
D. Create a bias bounty program.

Answer: B

Explanation:
Performing an impact assessment is the best step to mitigate the possibility of discrimination before training and testing the AI solution. An impact assessment, such as a Data Protection Impact Assessment (DPIA) or Algorithmic Impact Assessment (AIA), helps identify potential biases and discriminatory outcomes that could arise from the AI system. This process involves evaluating the data and the algorithm for fairness, accountability, and transparency. It ensures that any biases in the data are detected and addressed, thus preventing discriminatory practices and promoting ethical AI deployment. Reference: AIGP Body of Knowledge on Ethical AI and Impact Assessments.

NEW QUESTION # 154
A company deploys an AI model for fraud detection in online transactions. During its operation, the model begins to exhibit high rates of false positives, flagging legitimate transactions as fraudulent.
Which is the best step the company should take to address this development?

A. Conduct training for customer service teams to handle flagged transactions.
B. Deactivate the model until an assessment is made.
C. Dedicate more resources to monitor the model.
D. Maintain records of all false positives.

Answer: B

Explanation:
When an AI system causessignificant false positives, especially in sensitive contexts likefraud detection, the priority is tohalt harmful activityand perform a full assessment. Continued use without understanding the fault may cause furthercustomer harmand legal exposure.
From theAI Governance in Practice Report 2024:
"Incident management plans should enable identification, escalation, and system rollback to prevent continued harm from malfunctioning AI systems." (p. 12, 35)

NEW QUESTION # 155
......

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Free IAPP AIGP Dumps - AIGP Exam Cram Pdf

AIGP Exam Cram Pdf & AIGP Test Review

IAPP AIGP Exam Syllabus Topics:

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q150-Q155):

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