AIGP VALID TEST TESTKING | AIGP DOWNLOADABLE PDF

AIGP Valid Test Testking | AIGP Downloadable PDF

AIGP Valid Test Testking | AIGP Downloadable PDF

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Tags: AIGP Valid Test Testking, AIGP Downloadable PDF, AIGP Real Question, AIGP Exam Dumps Pdf, New AIGP Dumps Ebook

IAPP AIGP practice test software contains many IAPP AIGP practice exam designs just like the real IAPP Certified Artificial Intelligence Governance Professional (AIGP) exam. These AIGP practice exams contain all the AIGP questions that clearly and completely elaborate on the difficulties and hurdles you will face in the final AIGP Exam. IAPP Certified Artificial Intelligence Governance Professional (AIGP) practice test is customizable so that you can change the timings of each session. TestsDumps desktop IAPP AIGP practice test questions software is only compatible with windows and easy to use for everyone.

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AIGP Downloadable PDF, AIGP Real Question

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 2
  • Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 3
  • Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 4
  • Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and copyright’s Bill C-27.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q100-Q105):

NEW QUESTION # 100
A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third-party developers, they're considering two options:
Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.
Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.
Option A would be the best choice for the company because?

  • A. It is less expensive to run
  • B. It can handle voice commands and is more suitable for phone-based customer support.
  • C. It may be better suited for applications requiring customization.
  • D. It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.

Answer: C

Explanation:
Open-source modelsoffer morecustomization flexibility, allowing organizations to fine-tune or adapt the model tofit their own workflows, branding, or compliance needs- making it preferable when deep control is needed.
From theAI Governance in Practice Report 2024:
"Open-source AI allows organizations to review, adapt, and control model behavior in line with organizational needs and policies." (p. 39)


NEW QUESTION # 101
What is the primary purpose of an AI impact assessment?

  • A. To determine whether a conformity assessment is needed
  • B. To identify and measure the benefits of an AI system
  • C. To escalate the findings to the appropriate owner(s)
  • D. To anticipate and manage the potential risks and harms of an AI system

Answer: D

Explanation:
The correct answer is D. AI Impact Assessments are primarily used to identify and manage risks and harms associated with AI systems.
From the AIGP Body of Knowledge:
"The goal of an AI impact assessment is to ensure that risks are identified, evaluated, and mitigated prior to or during development and deployment." As further confirmed in the AI Governance in Practice Report 2024 (Part III):
"Risk-based tools like DPIAs and Algorithmic Impact Assessments help identify potential risks to individuals and society, enabling organizations to implement mitigation plans and safeguards." While benefits may be noted in such assessments, the core objective is to manage risks and promote responsible AI.


NEW QUESTION # 102
Which of the following is the least relevant consideration in assessing whether users should be given the right to opt out from an Al system?

  • A. Cost of alternative mechanisms.
  • B. Industry practice.
  • C. Feasibility.
  • D. Risk to users.

Answer: A

Explanation:
When assessing whether users should be given the right to opt out from an AI system, the primary considerations are feasibility, risk to users, and industry practice. Feasibility addresses whether the opt-out mechanism can be practically implemented. Risk to users assesses the potential harm or benefits users might face if they cannot opt out. Industry practice considers the norms and standards within the industry. However, the cost of alternative mechanisms, while important in the broader context of implementation, is not directly relevant to the ethical consideration of whether users should have the right to opt out. The focus should be on protecting user rights and ensuring ethical AI practices.
Reference: AIGP BODY OF KNOWLEDGE, sections discussing user rights and ethical considerations in AI.


NEW QUESTION # 103
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
Which other stakeholder groups should be involved in the selection and implementation of the Al hiring tool?

  • A. Supply Chain and Marketing.
  • B. Litigation and Product Development.
  • C. Finance and Legal.
  • D. Marketing and Compliance.

Answer: C

Explanation:
In the selection and implementation of the AI hiring tool, involving Finance and Legal is crucial. The Finance team is essential for assessing cost implications, budget considerations, and financial risks. The Legal team is necessary to ensure compliance with applicable laws and regulations, including those related to data privacy, employment, and anti-discrimination. Involving these stakeholders ensures a comprehensive evaluation of both the financial viability and legal compliance of the AI tool, mitigating potential risks and aligning with organizational objectives and regulatory requirements.


NEW QUESTION # 104
You are an engineer that developed an Al-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool's effectiveness?

  • A. Input data, to ensure the ads are reaching the target audience.
  • B. Output data, assess the delta between the prediction and actual ad clicks.
  • C. GPU performance, to evaluate the tool's robustness.
  • D. Algorithmic patterns, to show the model has a high degree of accuracy.

Answer: B

Explanation:
To evaluate the effectiveness of an AI-based ad recommendation tool, the most relevant metric is the output data, specifically assessing the delta between the prediction and actual ad clicks. This metric directly measures the tool's accuracy and effectiveness in making accurate recommendations that lead to user engagement. While monitoring algorithmic patterns and input data can provide insights into the model's behavior and targeting accuracy, and GPU performance can indicate the robustness and efficiency of the tool, the primary indicator of effectiveness for an ad recommendation tool is how well it predicts actual ad clicks.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI performance metrics and evaluation methods.


NEW QUESTION # 105
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