AIGP BRAIN EXAM - AIGP LATEST EXAM PDF

AIGP Brain Exam - AIGP Latest Exam Pdf

AIGP Brain Exam - AIGP Latest Exam Pdf

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Tags: AIGP Brain Exam, AIGP Latest Exam Pdf, AIGP New Braindumps Questions, Latest AIGP Exam Cram, Valid Test AIGP Fee

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 3
  • Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.
Topic 4
  • Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.

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AIGP Latest Exam Pdf | AIGP New Braindumps Questions

This is similar to the AIGP desktop format but this is browser-based. It requires an active internet connection to run and is compatible with all browsers such as Google Chrome, Mozilla Firefox, Opera, MS Edge, Safari, Internet Explorer, and others. The IAPP AIGP Mock Exam helps you self-evaluate your IAPP AIGP exam preparation and mistakes. This way you improve consistently and attempt the AIGP certification exam in an optimal way for excellent results in the exam.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q76-Q81):

NEW QUESTION # 76
After completing model testing and validation, which of the following is the most important step that an organization takes prior to deploying the model into production?

  • A. Identify known edge cases to monitor post-deployment.
  • B. Document maintenance teams and processes.
  • C. Perform a readiness assessment.
  • D. Define a model-validation methodology.

Answer: C

Explanation:
After completing model testing and validation, the most important step prior to deploying the model into production is to perform a readiness assessment. This assessment ensures that the model is fully prepared for deployment, addressing any potential issues related to infrastructure, performance, security, and compliance. It verifies that the model meets all necessary criteria for a successful launch. Other steps, such as defining a model-validation methodology, documenting maintenance teams and processes, and identifying known edge cases, are also important but come secondary to confirming overall readiness. Reference: AIGP Body of Knowledge on Deployment Readiness.


NEW QUESTION # 77
The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

  • A. Establishing explain ability criteria to responsibly source and use data to train Al systems.
  • B. Defining requirements specific to each industry sector and high-risk Al domain.
  • C. Focusing on Al technical design and post-deployment monitoring.
  • D. Balancing Al innovation with ethical considerations.

Answer: D

Explanation:
The OECD's Ethical AI Governance Framework aims to ensure that AI development and deployment are carried out ethically while fostering innovation. The framework includes principles like transparency, accountability, and human rights protections to prevent societal harm. It does not focus solely on technical design or post-deployment monitoring (C), nor does it establish industry-specific requirements (B). While explainability is important, the primary goal is to balance innovation with ethical considerations (D).


NEW QUESTION # 78
All of the following are included within the scope of post-deployment Al maintenance EXCEPT?

  • A. Dedicating experts to continually monitor the model output.
  • B. Evaluating the need for an audit under certain standards.
  • C. Defining thresholds to conduct new impact assessments.
  • D. Ensuring that all model components are subject a control framework.

Answer: C

Explanation:
Post-deployment AI maintenance typically includes ensuring that all model components are subject to a control framework, dedicating experts to continually monitor the model output, and evaluating the need for audits under certain standards. However, defining thresholds to conduct new impact assessments is usually part of the initial deployment and ongoing governance processes rather than a maintenance activity.
Maintenance focuses more on the operational aspects of the AI system rather than setting new thresholds for impact assessments.
Reference: AIGP BODY OF KNOWLEDGE, sections discussing AI lifecycle management and post-deployment activities.


NEW QUESTION # 79
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of Al systems?

  • A. Department of Homeland Security (DHS).
  • B. National Institute of Standards and Technology (NIST).
  • C. Office of Science and Technology Policy (OSTP).
  • D. National Science and Technology Council (NSTC).

Answer: B

Explanation:
The White House Executive Order of November 2023 designates the National Institute of Standards and Technology (NIST) as the responsible body for creating guidelines to conduct red-teaming tests of AI systems.
NIST is tasked with developing and providing standards and frameworks to ensure the security, reliability, and ethical deployment of AI systems, including conducting rigorous red-teaming exercises to identify vulnerabilities and assess risks in AI systems.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI governance and regulatory frameworks, and the White House Executive Order of November 2023.


NEW QUESTION # 80
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.
The most significant risk from combining the healthcare network's existing data with the clinical research partner data is?

  • A. Security risk.
  • B. Reputational risk.
  • C. Privacy risk.
  • D. Operational risk.

Answer: C

Explanation:
The most significant risk from combining the healthcare network's existing data with the clinical research partner data is privacy risk. Combining data sets, especially in healthcare, often involves handling sensitive information that could lead to privacy breaches if not managed properly. De-identified data can still pose re-identification risks when combined with other data sets. Ensuring privacy involves implementing robust data protection measures, maintaining compliance with privacy regulations such as HIPAA, and conducting thorough privacy impact assessments. Reference: AIGP Body of Knowledge on Data Privacy and Security.


NEW QUESTION # 81
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