Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Core Board › Core-PX3-SEJ› IAPP AIGP資格専門知識 & AIGP受験資料更新版
New Topic
Print Previous Topic Next Topic

[General] IAPP AIGP資格専門知識 & AIGP受験資料更新版

edwardm136

134

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
134

【General】 IAPP AIGP資格専門知識 & AIGP受験資料更新版

Posted at yesterday 15:30      View：5 | Replies：0        Print      Only Author   [Copy Link] 1#
ちなみに、CertJuken AIGPの一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1hvHEPY0v5OVYK_5f69pZHdkw2_crlQsB
AIGP試験の質問に協力して、AIGP試験に合格し、AIGP証明書を正常に取得することをお約束します。以前のお客様に対する最近の調査によると、99％のIAPPお客様が目標を達成できるため、最終的な目標の達成を支援するお手伝いができると考えています。ベッドサイドには、新しい知識の開発を管理するための高品質のAIGPテストガイドがあるため、すべてのIAPP Certified Artificial Intelligence Governance Professional学習ポイントをバランスよく把握できます。
ご存知のように、私たちは今、非常に大きな競争圧力に直面しています。欲しいものを手に入れるにはもっと力が必要です。AIGP無料の試験ガイドがこれらを提供するかもしれません。教材を使用すると、Artificial Intelligence Governance認定資格を取得できます。これにより、多くの競合他社の中で、あなたの能力がより明確になります。 AIGP練習ファイルを使用することは、ソフトパワーを向上させるための重要なステップです。業界の他の製品と比較して、AIGP学習教材が顧客を引き付けるために必要なものを理解するのに少し時間を割いていただければ幸いです。
試験の準備方法-完璧なAIGP資格専門知識試験-更新するAIGP受験資料更新版AIGP試験クイズを購入する前に、より快適な体験をお約束するために、CertJuken体験版サービスを提供しています。 AIGP学習教材の購入を決定したら、終日サービスも提供します。 ご質問がある場合は、当社IAPPのスペシャリストにお問い合わせください。 思いやりのあるサービスを提供します。 また、AIGPトレーニングガイドでAIGP試験に合格することをお勧めします。 信頼できるサービスにより、当社のAIGPのIAPP Certified Artificial Intelligence Governance Professional学習教材は決して失望させません。
IAPP AIGP 認定試験の出題範囲：
トピック出題範囲
トピック 1
  • Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
トピック 2
  • Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
トピック 3
  • Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
トピック 4
  • Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.

IAPP Certified Artificial Intelligence Governance Professional 認定 AIGP 試験問題 (Q50-Q55):質問 # 50
What is the most significant risk of deploying an AI model that can create realistic images and videos?
  • A. Security breaches.
  • B. Downstream harms.
  • C. Output cannot be protected.
  • D. Copyright infringement.
正解：B
解説：
The greatest risk from AI systems generatingrealistic synthetic mediaisdownstream harm, such as deepfakes, misinformation, reputational damage, and erosion of trust.
From theAI Governance in Practice Report 2024:
"With generative AI, downstream harms such as deception, reputational damage, misinformation, and manipulation can emerge even if original use was lawful." (p. 55-56)

質問 # 51
What is the primary reason the EU is considering updates to its Product Liability Directive?
  • A. To define new liability exemptions for defective products.
  • B. Address digital services and connected products.
  • C. To increase the minimum warranty level for defective goods.
  • D. Address free and open-source software.
正解：B
解説：
The primary reason the EU is considering updates to its Product Liability Directive is to address digital services and connected products. The current directive does not adequately cover the complexities and challenges posed by modern digital and connected technologies. By updating the directive, the EU aims to ensure that it remains relevant and effective in addressing the liabilities associated with these advanced products, ensuring consumer protection and fair market practices in the digital age.

質問 # 52
Scenario:
A public sector agency is reviewing proposed AI use cases for improving services. It wants to prioritize implementations that deliver value but minimize unintended negative consequences.
When evaluating which AI use cases to implement, an organization should consider all of the following EXCEPT:
  • A. The users and their expectations
  • B. Related TEVV (test, evaluate, verify, validate) and system metrics
  • C. Potential positive and negative impacts of the system
  • D. Equitable access to the AI tool
正解：B
解説：
The correct answer is A. While TEVV is important in later lifecycle phases, it is not the primary consideration when evaluating and prioritizing use cases.
From the AIGP Body of Knowledge - Use Case Assessment Module:
"Use case evaluation focuses on value, impact, fairness, and accessibility-technical testing considerations come later." ILT Guide confirms:
"Organizations should first assess whether the AI system provides equitable outcomes and aligns with stakeholder expectations. TEVV is part of implementation, not initial prioritization." Thus, A is not a top-level consideration during use case selection.

質問 # 53
CASE STUDY
A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.
The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.
The marketing company has:
* Entered into a contract with the technology company with suitable representations and warranties.
* Completed an impact assessment on the LLM for this intended use.
* Built technical guidance on how to measure and mitigate bias in the LLM.
* Enabled technical aspects of transparency, explainability, robustness and privacy.
* Followed applicable regulatory requirements.
* Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.
The technology company has:
* Provided guidance and resources to developers to address environmental concerns.
* Build technical guidance on how to measure and mitigate bias in the LLM.
* Provided tools and resources to measure bias specific to the LLM.
* Enabled technical aspects of transparency, explainability, robustness and privacy.
* Mapped and mitigated potential societal harms and large-scale impacts.
* Followed applicable regulatory requirements and industry standards.
* Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The technology company has also addressed environmental concerns and societal harms.
Which of the following results would be considered biased outputs from this AI system EXCEPT?
  • A. The advertising text generated for female audiences focuses on color and style
  • B. The images of female workers are hyper-sexualized
  • C. The content generated for minority construction workers is insufficient
  • D. The generated ads are sent to construction companies, not individual workers
正解：D
解説：
The correct answer is A. Sending ads to construction companies (business entities) rather than individual workers is a business targeting decision, not inherently a biased AI output.
From the AIGP ILT Participant Guide - Bias & Fairness Module:
"Biased outputs often include stereotyping, exclusion of underrepresented groups, or reinforcing harmful societal assumptions." Examples like insufficient representation of minority groups or gender-stereotyping in visuals or language are typical manifestations of bias.
AI Governance in Practice Report 2024 also notes:
"Bias in generative models may manifest in representation gaps, stereotyping, or unequal performance across demographic groups." Option A, by contrast, describes a distribution strategy, not a bias generated by the AI model.

質問 # 54
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.
If XYZ does not deploy and use the Al hiring tool responsibly in the United States, its liability would likely increase under all of the following laws EXCEPT?
  • A. Privacy laws.
  • B. Accessibility laws.
  • C. Product liability laws.
  • D. Anti-discriminationlaws.
正解：C
解説：
In the United States, the use of AI hiring tools must comply with anti-discrimination laws, accessibility laws, and privacy laws to avoid increasing liability. Anti-discrimination laws (A) ensure that hiring practices do not unlawfully discriminate against protected classes. Accessibility laws (C) require that hiring tools are accessible to all applicants, including those with disabilities. Privacy laws (D) govern the handling of personal data during the hiring process. Product liability laws (B), however, typically apply to the safety and reliability of physical products and would not generally increase liability specifically related to the responsible use of AI hiring tools in the employment context.

質問 # 55
......
IAPPさまざまな種類の候補者がAIGP認定を取得する方法を見つけるために、多くの研究が行われています。 シラバスの変更および理論と実践の最新の進展に応じて、AIGPテストトレントを修正および更新します。 AIGP認定トレーニングは、厳密な分析による近年のテストと業界動向に基づいています。 したがって、お客様のIAPP Certified Artificial Intelligence Governance Professionalのために、より多くの選択肢が用意されています。試験のためにAIGP試験問題を選択することをお勧めします。
AIGP受験資料更新版: https://www.certjuken.com/AIGP-exam.html
P.S. CertJukenがGoogle Driveで共有している無料かつ新しいAIGPダンプ：https://drive.google.com/open?id=1hvHEPY0v5OVYK_5f69pZHdkw2_crlQsB
https://www.itzert.com
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list