[2026年04月06日]AIGP試験問題集を試そう！ベストAIGP試験問題
検証済みのAIGPテスト問題集で正確な204問題と解答
質問 # 36
All of the following are unique characteristics of AI that require a comprehensive approach to governance EXCEPT: (Choose three.)
- A. Autonomy.
- B. Automation.
- C. Adaptability.
- D. Speed and scale.
- E. Superintelligence.
正解：B、D、E
解説：
The commonly recognized unique characteristics of AI that drive the need for comprehensive governance are autonomy and adaptability.
Automation, speed and scale, and superintelligence are not considered core unique characteristics for governance purposes in standard AI governance frameworks, making them the correct exceptions.
質問 # 37
CASE STUDY
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.
To 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 deploy 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 organization continues planning the adoption of an AI tool to support hiring, but is concerned about potential bias in content generated by AI systems and how that could affect public perception.
Which of the following measures should the company adopt tobest mitigate its risk of reputational harmfrom using the AI tool?
- A. Continue to require the company's hiring personnel to manually screen all applicants
- B. Test the AI tool pre- and post-deployment
- C. Ensure the vendor provides indemnification for the AI tool
- D. Require the procurement and deployment teams to agree upon the AI tool
正解：B
解説：
Note:This is the same scenario and question as Question 21 and thus has thesame correct answer: A. It's possible this was duplicated in your original input.
Repeated for clarity:
"Testing AI tools pre- and post-deployment helps ensure they perform as expected and do not introduce bias, privacy issues, or fairness concerns. This mitigates reputational and legal risk." TheAI Governance in Practice Report2025further reinforces:
"Ongoing monitoring and testing post-deployment allows organizations to catch and correct unintended impacts... especially important in HR and hiring contexts."
質問 # 38
A regulator has ruled that the AI model used by some features of your product should not be used in their jurisdiction. What is the most robust way of reacting to this situation?
- A. Shut down the service in the jurisdiction to pressure the regulator to change their position.
- B. Create a second, separate version of the application and deploy it to users in the jurisdiction.
- C. Implement a feature flag to enable or disable the features based on a user's country of origin.
- D. Re-train your AI model and deploy it immediately to show you can react quickly to regulator's requirements.
正解：C
質問 # 39
What is the most important reason for documenting risks when developing an AI system?
- A. To mitigate potential liability.
- B. To provide transparency to stakeholders.
- C. To align with industry standards.
- D. To promote knowledge sharing.
正解：A
解説：
The most critical reason for documenting AI-related risks is toreduce exposure to legal, regulatory, and reputational liabilities. Clear documentation demonstrates thatrisks were identified, assessed, and addressed, which is essential for accountability and defensibility in the face of audits, litigation, or enforcement actions.
From theAI Governance in Practice Report2025:
"An effective AI governance model is about collective responsibility... which should encompass oversight mechanisms such as privacy, accountability, compliance." (p. 13)
"Accountability... is based on the idea that there should be a person or entity that is ultimately responsible for any harm resulting from the use of the data, algorithm and AI system's underlying processes." (p. 28) While transparency, alignment with standards, and knowledge sharing are all secondary benefits,risk documentation's primary role is liability mitigation.
質問 # 40
All of the following may be permissible uses of an Al system under the EU Al Act EXCEPT?
- A. To promote equitable distribution of welfare benefits.
- B. To implement social scoring.
- C. To manage border control.
- D. To detect an individual's intent for law enforcement purposes.
正解：B
解説：
The EU AI Act explicitly prohibits the use of AI systems for social scoring by public authorities, as it can lead to discrimination and unfair treatment of individuals based on their social behavior or perceived trustworthiness. While AI can be used to promote equitable distribution of welfare benefits, manage border control, and even detect an individual's intent for law enforcement purposes (within strict regulatory and ethical boundaries), implementing social scoring systems is not permissible under the Act due to the significant risks to fundamental rights and freedoms.
質問 # 41
The best method to ensure a comprehensive identification of risks for a new AI model is:
- A. An impact assessment.
- B. Integration testing.
- C. An environmental scan.
- D. Red teaming.
正解：A
解説：
An impact assessment is specifically designed to provide a comprehensive, structured evaluation of all relevant risks - technical, ethical, legal, operational, and societal - before deploying an AI system.
質問 # 42
CASE STUDY
Please use the following to answer the next question:
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.
To address these concerns, the company is considering using a third-party AI tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party AI-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 deploy technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by AI hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the AI hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?
- A. Continue to require the company's hiring personnel to manually screen all applicants.
- B. Test the AI tool pre- and post-deployment.
- C. Ensure the vendor provides indemnification for the AI tool.
- D. Require the procurement and deployment teams to agree upon the AI tool.
正解：B
解説：
Testing the AI tool before and after deployment helps identify biases and errors early, reducing the risk of reputational harm by ensuring the system performs fairly and reliably.
質問 # 43
What type of organizational risk is associated with AI's resource-intensive computing demands?
- A. Environmental risk.
- B. Security risk.
- C. Third-party risk.
- D. People risk.
正解：A
解説：
AI's resource-intensive computing demands contribute to increased energy consumption and carbon footprint, which are environmental risks for the organization.
質問 # 44
Which of the following deployments of generative Al best respects intellectual property rights?
- A. The system provides attribution to creators of publicly available information.
- B. The system produces content that includes trademarks and copyrights.
- C. The system produces content that is modified to closely resemble copyrightedwork.
- D. The system categorizes and applies filters to content based on licensing terms.
正解：D
解説：
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.
質問 # 45
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. National Science and Technology Council (NSTC).
- B. Department of Homeland Security (DHS).
- C. National Institute of Standards and Technology (NIST).
- D. Office of Science and Technology Policy (OSTP).
正解：C
解説：
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.
質問 # 46
Training an AI model is time-consuming because of: (Choose three.)
- A. The complexity of the AI model.
- B. The quality of the training data.
- C. The number of stakeholders.
- D. The volume of training data.
- E. The maturity of AI governance.
正解：A、B、D
解説：
Training time is affected by the model's complexity, the volume of training data, and the quality of that data, all of which impact computational requirements and training effectiveness.
質問 # 47
A company initially intended to use a large data set containing personal information to train an Al model.
After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model.
This is an example of applying which privacy-enhancing technique (PET)?
- A. Anonymization.
- B. Pseudonymization.
- C. Federated learning.
- D. Differential privacy.
正解：A
解説：
Anonymization is a privacy-enhancing technique that involves removing or permanently altering personal data elements to prevent the identification of individuals. In this case, the company obfuscated all personal data elements before training the model, which aligns with the definition of anonymization. This ensures that the data cannot be traced back to individuals, thereby protecting their privacy while still allowing the company to derive value from the dataset. Reference: AIGP Body of Knowledge, privacy-enhancing techniques section.
質問 # 48
Scenario:
An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing the most effective methods to reduce risks related to bias, data misuse, and liability when using third-party solutions.
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
- A. Allowing publicly available information and personally identifiable information (PII) to be incorporated into the prompt
- B. Requiring new use cases of the generative AI tools or applications to be reviewed and approved by the generative AI governance body
- C. Including clauses in the procurement agreement for buyers of generative AI tools to put certain liabilities on the tool supplier
- D. Requiring an independent third-party bias audit for third-party generative AI tools
正解：A
解説：
The correct answer is B. Allowing PII to be freely entered into prompts without safeguards is considered a major privacy and security risk and is not a responsible governance practice.
From the AIGP ILT Guide - Generative AI & Third-Party Risk Management:
"Use of personal or sensitive information in AI prompts can result in unintended exposure, regulatory breaches, and downstream liability." The AI Governance in Practice Report 2024 highlights:
"PII should be minimized or protected by design. Prompt engineering should prevent entry of personally identifiable data unless legally and technically safeguarded." A, C, and D are established best practices under responsible AI procurement and use.
質問 # 49
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.
All of the following are potential negative consequences created by using the Al tool when making hiring decisions EXCEPT?
- A. Civil rights violations.
- B. Intellectual property infringement.
- C. Discriminatory treatment.
- D. Reputational harm.
正解：B
解説：
The potential negative consequences of using an AI tool in hiring include reputational harm (A), civil rights violations (B), and discriminatory treatment (C). These issues stem from biases in the AI system or its misuse, which can lead to unfair hiring practices and legal liabilities. Intellectual property infringement (D) is not a typical consequence of using AI in hiring, as it relates to the unauthorized use of protected intellectual property, which is not directly relevant to the hiring process or the potential biases within AI tools.
質問 # 50
Scenario:
An organization is evaluating different AI models for integration into its internal workflows. Before moving forward with a particular AI solution from a third-party vendor, the governance team needs to assess the ethical and operational implications of the model.
The most important policy to assess the operations of an AI model is to follow the:
- A. Security policy of the model provider
- B. Privacy policy of the model provider
- C. Code of conduct policy of the model provider
- D. Acceptable use policy of the model provider
正解：D
解説：
The correct answer isA. TheAcceptable Use Policy (AUP)sets the primary terms and conditions under which the AI model can be used, including limitations, prohibited uses, and operational constraints.
From the AIGP ILT Guide:
"The AUP is the most critical document to assess what you can and cannot do with the AI system. It governs use cases, outlines forbidden uses (e.g., disinformation), and supports responsible AI practices." Also confirmed in the AI Governance in Practice Report2025(Third-Party AI Assurance section):
"Reviewing and adhering to the acceptable use policy ensures that the model is being used in a manner that aligns with both provider expectations and ethical AI practices."
質問 # 51
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 of the following measures should XYZ adopt to best mitigate its risk of reputational harm from using the Al tool?
- A. Continue to require XYZ's hiring personnel to manually screen all applicants.
- B. Ensure the vendor assumes responsibility for all damages.
- C. Test the Al tool pre- and post-deployment.
- D. Direct the procurement team to select the most economical Al tool.
正解：C
解説：
To mitigate the risk of reputational harm from using an AI hiring tool, XYZ Corp should rigorously test the AI tool both before and after deployment. Pre-deployment testing ensures the tool works correctly and does not introduce bias or other issues. Post-deployment testing ensures the tool continues to operate as intended and adapts to any changes in data or usage patterns. This approach helps to identify and address potential issues proactively, thereby reducing the risk of reputational harm. Ensuring the vendor assumes responsibility for damages (B) does not address the root cause of potential issues, selecting the most economical tool (C) may compromise quality, and continuing manual screening (D) defeats the purpose of using the AI tool.
質問 # 52
What is the most important reason for documenting risks when developing an AI system?
- A. To mitigate potential liability.
- B. To provide transparency to stakeholders.
- C. To align with industry standards.
- D. To promote knowledge sharing.
正解：A
解説：
Documenting risks creates a clear record of identified issues, decisions, and mitigations, which is essential for reducing potential legal and regulatory liability if the AI system later causes harm.
質問 # 53
A company plans on procuring a tool from an Al provider for its employees to use for certain business purposes.
Which contractual provision would best protect the company's intellectual property in the tool, including training and testing data?
- A. The provider willobtain and maintain insurance to cover potential claims.
- B. The provider willdefend and indemnify the company against infringement claims.
- C. The provider willwarrant that the tool will work as intended.
- D. The provider willgive privacy notice to individuals before using their personal data to train or test the tool.
正解：B
解説：
To protect the company's intellectual property, the most pertinent contractual provision is ensuring that the AI provider will defend and indemnify the company against infringement claims. This clause means the provider will take responsibility for any intellectual property disputes that arise, thereby safeguarding the company from potential legal and financial repercussions related to the use of the tool. Other options, while beneficial, do not directly address the protection of intellectual property. This concept is detailed in the contractual best practices section of the IAPP AIGP Body of Knowledge.
質問 # 54
A company plans on procuring a tool from an AI provider for its employees to use for certain business purposes. Which contractual provision would best protect the company's intellectual property in the tool, including training and testing data?
- A. The provider will defend and indemnify the company against infringement claims.
- B. The provider will warrant that the tool will work as intended.
- C. The provider will obtain and maintain insurance to cover potential claims.
- D. The provider will give privacy notice to individuals before using their personal data to train or test the tool.
正解：A
解説：
Indemnification provisions protect the company against intellectual property infringement claims arising from the provider's tool, including data used in training and testing.
質問 # 55
In procuring an AI system from a vendor, which of the following would be important to include in a contract to enable proper oversight and auditing of the system?
- A. Responsibility for improvements.
- B. Appropriate access to data and models.
- C. Ownership of data and outputs.
- D. Liability for mistakes.
正解：B
解説：
Ensuringoversight and auditabilityrequires that the organization hassufficient access to data, documentation, and model internalsor outputs necessary for evaluation.
From theAI Governance in Practice Report2025:
"Access to technical documentation and system internals is essential to enable effective auditing, conformity checks, and accountability mechanisms." (p. 11, 34)
* Ais about liability, not auditability.
* Bmatters for IP rights, not oversight.
* Crelates to lifecycle responsibility but doesn't guarantee audit access.
質問 # 56
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?
- A. Segmentation.
- B. Generative Al.
- C. Supervised learning.
- D. Expert systems.
正解：C
解説：
Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference:
AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.
g., text recognition, detecting spam in emails).
質問 # 57
Which of the following steps occurs in the design phase of the Al life cycle?
- A. Risk impact estimation.
- B. Model explainability.
- C. Data augmentation.
- D. Performance evaluation.
正解：A
解説：
Risk impact estimation occurs in the design phase of the AI life cycle. This step involves evaluating potential risks associated with the AI system and estimating their impacts to ensure that appropriate mitigation strategies are in place. It helps in identifying and addressing potential issues early in the design process, ensuring the development of a robust and reliable AI system. Reference: AIGP Body of Knowledge on AI Design and Risk Management.
質問 # 58
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 may be better suited for applications requiring customization.
- B. It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.
- C. It is less expensive to run
- D. It can handle voice commands and is more suitable for phone-based customer support.
正解：A
解説：
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)
質問 # 59
......
IAPP AIGP 認定試験の出題範囲：
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
| トピック 4 |
|
IAPP AIGPテストエンジンPDFで全問 無料問題集：https://jp.fast2test.com/AIGP-premium-file.html
手に入れよう！最新AIGP認定有効な試験問題集解答：https://drive.google.com/open?id=1vcrYeZ_VWjf9-rJlhvSq653Ga4VgCVQs