AIGP PDF問題集で2026年06月08日試験問題 有効なAIGP問題集
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IAPP AIGP 認定試験の出題範囲：
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質問 # 117
What is the best reason for a company adopt a policy that prohibits the use of generative Al?
- A. Avoid accidental disclosure to its confidential and proprietary information.
- B. Avoid using technology that cannot be monetized.
- C. Avoid the time necessary to train employees on acceptable use.
- D. Avoid needing to identify and hire qualified resources.
正解：A
解説：
The primary concern for a company adopting a policy prohibiting the use of generative AI is the risk of accidental disclosure of confidential and proprietary information. Generative AI tools can inadvertently leak sensitive data during the creation process or through data sharing. This risk outweighs the other reasons listed, as protecting sensitive information is critical to maintaining the company's competitive edge and legal compliance. This rationale is discussed in the sections on risk management and data privacy in the IAPP AIGP Body of Knowledge.
質問 # 118
An artist has been using an AI tool to create digital art and would like to ensure that it has copyright protection in the United States. Which of the following is most likely to enable the artist to receive copyright protection?
- A. Ensure the tool was trained using publicly available content.
- B. Provide a log of the prompts the artist used to generate the images.
- C. Update the images in a creative way to demonstrate that it is the artist's.
- D. Obtain a representation from the AI provider on how the tool works.
正解：C
解説：
Copyright protection typically requires a human author's creative input, so modifying AI-generated images in a creative way demonstrates the artist's originality needed for copyright.
質問 # 119
An AI system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as:
- A. Reliable.
- B. Robust.
- C. Reinforced.
- D. Resilient.
正解：B
解説：
Robustness describes an AI system's ability to maintain performance despite variations or adversarial conditions in the environment.
質問 # 120
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.
In particular, GVC has learned that the teachers they employ used open source large language models ("LLM") to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
What is the best reason for GVC to offer students the choice to utilize generative Al in limited, defined circumstances?
- A. Toenable students to learn about performing research.
- B. Toenable students to learn about practical applications of Al.
- C. Toenable students to learn how to use Al as a supportive educational tool.
- D. Toenable students to learn how to manage their time.
正解：C
解説：
The best reason for GVC to offer students the choice to utilize generative AI in limited, defined circumstances is to enable students to learn how to use AI as a supportive educational tool. By integrating AI in a controlled manner, students can learn the practical applications of AI and develop skills to use AI responsibly and effectively in their educational pursuits.
Reference: The AIGP Body of Knowledge highlights the importance of teaching students about AI's practical applications and the responsible use of AI technologies. This aligns with the goal of fostering a better understanding of AI's role and its potential benefits in various contexts, including education.
質問 # 121
The processes and methods that allow human users to understand and trust the outputs produced by AI are important in addressing which key regulatory concern?
- A. Trustworthy AI
- B. Explainable AI
- C. Responsible AI
- D. Interpretable AI
正解：B
解説：
The correct answeris ExplainableAi becauseit specifically refers tothe abilityof a systemto describethe logic behind its decisions oroutput ina way that is understandable to humans. This is a key part of regulatory and ethical frameworks and is directly related to addressingthe black-boxproblem inAI.
From the AIGP ILT Participant Guide (Module on Transparency and Explainability):
"Explainability refers to the understanding of how a black-box model works. The black-box problem exists because some models are too complex for human interpretation. Explainability methods aim to provide meaningful insight into the logic and decision-making of AI systems." Also, according to the AI Governance in Practice Report2025:
"Explainability refers to the representation of the underlying mechanisms of the AI system's operation... a key tenet of AI governance due to the desire to understand how AI systems are built, managed and maintained." Thus, while Trustworthy and Responsible AI are broader concepts,explainabilityspecifically targetsthe regulatoryconcern about understanding outputs.
質問 # 122
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT:
- A. System cost.
- B. Data loss.
- C. Feature drift.
- D. Model drift.
正解：A
解説：
System cost is an operational concern but not directly related to the functional performance of the deployed model, unlike feature drift, model drift, and data loss.
質問 # 123
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.
Which stakeholder is responsible for the lawful collection of data used to train the foundational AI model?
- A. The data aggregator
- B. The marketing agency
- C. The marketing agency's client
- D. The tech company
正解：D
解説：
The correct answer isB - The tech company. The party thatdevelops and trains the foundational modelis responsible for ensuring thelawful collection of training data.
From the AIGP ILT Guide - Foundational Models & Data Governance:
"Responsibility for the lawfulness of data collection typically lies with the party that trains the model- usually the provider or developer of the foundational model." AI Governance in Practice Report2025confirms:
"General Purpose AI providers are required to ensure that training data is lawfully acquired, including compliance with intellectual property and privacy requirements." The marketing agency is only auserordownstream integrator, not responsible for original data collection.
質問 # 124
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
- A. Requiring new use cases of the generative AI tools or applications to be reviewed and approved by the generative AI governance body.
- B. Requiring an independent third-party bias audit for third-party generative AI tools.
- C. Allowing publicly available information and personally identifiable information (pii) to be incorporated into the prompt.
- D. Including clauses in the procurement agreement for buyers of generative AI tools to put certain liabilities on the tool supplier.
正解：C
解説：
Allowing publicly available information and personally identifiable information to be incorporated into prompts increases risk rather than reducing it, making it the least aligned with common risk- mitigation practices for third-party AI tools.
質問 # 125
Machine learning is best described as a type of algorithm by which?
- A. Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
- B. Previously unknown properties are discovered in data and used to predict and make improvements in the data.
- C. Systems can automatically improve from experience through predictive patterns.
- D. Systems can mimic human intelligence with the goal of performing routine tasks.
正解：C
解説：
Machine learning is defined as systems that automatically improve their performance through experience by identifying predictive patterns in data.
質問 # 126
The use of paid generative AI public tools is appealing because? (Choose three.)
- A. They are convenient to adopt.
- B. They have frequent enhancements of new features.
- C. They eliminate concerns about the data used to generate outputs.
- D. They provide transparency in models and in decision-making.
- E. They have additional privacy and security controls.
正解：A、B、E
解説：
Paid generative AI tools are appealing because they are convenient to adopt, often include enhanced privacy and security controls, and receive frequent feature updates.
質問 # 127
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 generated ads are sent to construction companies, not individual workers
- B. The content generated for minority construction workers is insufficient
- C. The advertising text generated for female audiences focuses on color and style
- D. The images of female workers are hyper-sexualized
正解：A
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 # 128
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
Training an AI model is time-consuming because of?
- A. The maturity of AI governance.
- B. The complexity of the AI model.
- C. The number of stakeholders.
- D. The quality of the training data.
- E. The volume of training data.
正解：B、D、E
解説：
Training an AI model is time-consuming primarily due tomodel complexity,large data volumes, and the need forhigh-quality, well-prepared data.
From theAI Governance in Practice Report2025:
"Most AI requires sizeable amounts of high-quality data... to ensure desired and accurate output." (p. 15)
"The accuracy of AI model outputs depends significantly on the quality of their inputs." (p. 24)
"Complex AI systems... with many parameters... result in long development and training phases." (p. 32)
* B. Maturity of governanceaffects oversight, not training time.
* D. Number of stakeholdersaffects alignment, not direct training duration.
質問 # 129
A US company has developed an Al system, CrimeBuster 9619, that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime if released from prison.
When considering expanding to the EU market, this type of technology would?
- A. Be banned under the EU Al Act.
- B. Be subject approval by the relevant EU authority.
- C. Require the company to register the tool with the EU database.
- D. Require a detailed conformity assessment.
正解：D
解説：
Under the EU AI Act, high-risk AI systems like CrimeBuster 9619 would require a detailed conformity assessment before being deployed in the EU market. This assessment ensures that the AI system complies with all relevant regulations and standards, addressing potential risks related to privacy, security, and discrimination. The company would not need to register the tool with the EU database (A), seek approval from an EU authority (B), or face a ban (D) as long as it meets the necessary conformity requirements.
質問 # 130
ISO 42001 International Standard offers guidance for organizations to develop trustworthy AI management systems by:
- A. Explicitly over-riding previously issued and now outdated ISO standards.
- B. Focusing on high-risk aspects of development of AI management systems.
- C. Requiring organizations to continuously improve the effectiveness of their AI management systems.
- D. Requiring specific minimum parameters for key suppliers and key aspects of AI management systems.
正解：C
質問 # 131
Which of the following steps occurs in the design phase of the Al life cycle?
- A. Data augmentation.
- B. Performance evaluation.
- C. Risk impact estimation.
- D. Model explainability.
正解：C
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 # 132
What is the 1956 Dartmouth summer research project on Al best known as?
- A. A research project to create a test for machine intelligence.
- B. A research project on the impacts of technology on society.
- C. A meeting focused on the founding of the Al field.
- D. A meeting focused on the impacts of the launch of the first mass-produced computer.
正解：C
解説：
The 1956 Dartmouth summer research project on AI is best known as a meeting focused on the founding of the AI field. This conference is historically significant because it marked the formal beginning of artificial intelligence as an academic discipline. The term "artificial intelligence" was coined during this event, and it laid the foundation for future research and development in AI.
Reference: The AIGP Body of Knowledge highlights the importance of the Dartmouth Conference as a pivotal moment in the history of AI, which established AI as a distinct field of study and research.
質問 # 133
All of the following areunique characteristics of AIthat require a comprehensive approach to governanceEXCEPT?
- A. Superintelligence
- B. Adaptability
- C. Autonomy
- D. Automation
- E. Speed and scale
正解：A
解説：
The correct answer isE - Superintelligence.
While the other options (Autonomy, Automation, Adaptability, Speed and Scale) are commonly cited as real- world characteristics that affect governance today,superintelligenceremainsa theoretical concept.
From the AIGP ILT Guide and AI Governance in Practice Report2025:
"Core AI characteristics-such as automation, adaptability, speed, and autonomy-require active governance due to their impact on decision-making, legal liability, and risk." However,superintelligenceis speculative and not a current feature of AI systems under governance frameworks like theEU AI Act or NIST RMF.
Thus, it'snot a current characteristicrequiring governance in real-world enterprise settings.
質問 # 134
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