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인기자격증AIGP완벽한인증시험덤프최신시험덤프자료

Fast2test의IAPP인증 AIGP덤프는 고객님의 IT인증자격증을 취득하는 소원을들어줍니다. IT업계에 금방 종사한 분은 자격증을 많이 취득하여 자신만의 가치를 업그레이드할수 있습니다. Fast2test의IAPP인증 AIGP덤프는 실제 시험문제에 대비하여 연구제작된 퍼펙트한 시험전 공부자료로서 시험이 더는 어렵지 않게 느끼도록 편하게 도와드립니다.

IAPP AIGP 시험요강:주제소개주제 1
  • Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and Canada’s Bill C-27.
주제 2
  • 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.
주제 3
  • Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
주제 4
  • Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.
주제 5
  • Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.

 

>> AIGP완벽한 인증시험덤프 <<

높은 통과율 AIGP완벽한 인증시험덤프 덤프샘플문제

우리Fast2test가 제공하는 최신, 최고의IAPP AIGP시험관련 자료를 선택함으로 여러분은 이미 시험패스성공이라고 보실수 있습니다.

최신 Artificial Intelligence Governance AIGP 무료샘플문제 (Q77-Q82):

질문 # 77
You are part of your organization's ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating.
What is the best first step address this?

  • A. Conduct champion/challenger testing.
  • B. Run red-teaming exercises.
  • C. Perform an audit of the model.
  • D. Replace the model with a previous version.

정답:A

설명:
When the accuracy of a model deteriorates, the best first step is to conduct champion/challenger testing. This involves deploying a new model (challenger) alongside the current model (champion) to compare their performance. This method helps identify if the new model can perform better under current conditions without immediately discarding the existing model. It provides a controlled environment to test improvements and understand the reasons behind the deterioration. This approach is preferable to directly replacing the model, performing audits, or running red-teaming exercises, which may be subsequent steps based on the findings from the champion/challenger testing.
Reference: AIGP BODY OF KNOWLEDGE, sections on model performance management and testing strategies.

 

질문 # 78
The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

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

정답:D

설명:
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).

 

질문 # 79
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.
In the design phase, what is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?

  • A. Ensure the data is labeled and formatted.
  • B. Identify fits and gaps in the combined data.
  • C. Apply privacy-enhancing technologies to the data.
  • D. Evaluate the country of origin of the data.

정답:B

설명:
In the design phase of integrating data from different sources, identifying fits and gaps is crucial. This process involves understanding how well the data from the clinical research partner aligns with the healthcare network's existing data. It ensures that the combined data set is coherent and can be effectively used for training the AI algorithm. This step helps in spotting any discrepancies, inconsistencies, or missing data that might affect the performance and accuracy of the AI model. It directly addresses the integrity and compatibility of the data, which is foundational before applying any privacy-enhancing technologies, labeling, or evaluating the origin of the data. Reference: AIGP Body of Knowledge on Data Integration and Quality.

 

질문 # 80
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.
The frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk Management Framework and?

  • A. NIST Cyber Security Risk Management Framework (CSF 2.0).
  • B. IEEE Ethical System Design Risk Management Framework (IEEE 7000-21).
  • C. Human Rights, Democracy, and Rule of Law Impact Assessment (HUDERIA).
  • D. NIST Information Security Risk (NIST SP 800-39).

정답:B

설명:
The IEEE Ethical System Design Risk Management Framework (IEEE 7000-21) would be most appropriate for XYZ Corp's governance needs in addition to the NIST AI Risk Management Framework. The IEEE framework specifically addresses ethical concerns during system design, which is crucial for ensuring the responsible use of AI in hiring. It complements the NIST framework by focusing on ethical risk management, aligning well with XYZ Corp's goals of deploying AI responsibly and mitigating associated risks.

 

질문 # 81
All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

  • A. The Al Pact will act as a transitional bridge until the Regulations are fully enacted.
  • B. Rules on General Purpose Al will apply after 6 months as a specific provision.
  • C. Fines for SMEs and startups will be proportionally capped.
  • D. Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).

정답:A

설명:
The EU AI Act outlines specific penalties and enforcement mechanisms to ensure compliance with its regulations. Among these, fines for violations of banned AI applications can be as high as €35 million or 7% of the global annual turnover of the offending organization, whichever is higher. Proportional caps on fines are applied to SMEs and startups to ensure fairness. General Purpose AI rules are to apply after a 6-month period as a specific provision to ensure that stakeholders have adequate time to comply. However, there is no provision for an "AI Pact" acting as a transitional bridge until the regulations are fully enacted, making option C the correct answer.

 

질문 # 82
......

Fast2test를 검색을 통해 클릭하게된 지금 이 순간 IT인증자격증취득IAPP AIGP시험은 더는 힘든 일이 아닙니다. 다른 분들이IAPP AIGP시험준비로 수없는 고민을 할때 고객님은 저희 IAPP AIGP덤프로 제일 빠른 시일내에 시험을 패스하여 자격증을 손에 넣을수 있습니다.

AIGP시험: https://kr.fast2test.com/AIGP-premium-file.html

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