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Pass Guaranteed Quiz 2025 IAPP AIGP: IAPP Certified Artificial Intelligence Governance Professional–The Best Pass Leader Dumps

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which of the following use cases would be best served by a non-AI solution?

A. A non-profit wants to develop a social media presence.
OB. An e-commerce provider wants to make personalized recommendations.
B. A business analyst wants to forecast future cost overruns and underruns.
C. A customer service agency wants automate answers to common questions.

Answer: A

Explanation:
Developing a social media presence for a non-profit is best served by non-AI solutions. This task primarily involves content creation, community engagement, and strategic planning, which are effectively managed by human expertise and traditional marketing tools. AI is more suitable for tasks requiring automation, large-scale data analysis, and personalized recommendations, such as e-commerce personalization, forecasting cost overruns, or automating customer service responses. Reference: AIGP Body of Knowledge on AI Use Cases and Applications.

NEW QUESTION # 73
Machine learning is best described as a type of algorithm by which?

A. Systems can automatically improve from experience through predictive patterns.
B. Systems can mimic human intelligence with the goal of replacing humans.
C. Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
D. Previously unknown properties are discovered in data and used to predict and make improvements in the data.

Answer: A

Explanation:
Machine learning (ML) is a subset of artificial intelligence (AI) where systems use data to learn and improve over time without being explicitly programmed. Option B accurately describes machine learning by stating that systems can automatically improve from experience through predictive patterns. This aligns with the fundamental concept of ML where algorithms analyze data, recognize patterns, and make decisions with minimal human intervention. Reference: AIGP BODY OF KNOWLEDGE, which covers the basics of AI and machine learning concepts.

NEW QUESTION # 74
Which of the following deployments of generative Al best respects intellectual property rights?

A. The system produces content that is modified to closely resemble copyrightedwork.
B. The system provides attribution to creators of publicly available information.
C. The system categorizes and applies filters to content based on licensing terms.
D. The system produces content that includes trademarks and copyrights.

Answer: C

Explanation:
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.

NEW QUESTION # 75
The White House Executive Order from November 2023 requires companies that develop dual-use foundation models to provide reports to the federal government about all of the following EXCEPT?

A. Any environmental impact study for each dual-use foundation model.
B. The physical and cybersecurity protection measures of their dual-use foundation models.
C. Any current training or development of dual-use foundation models.
D. The results of red-team testing of each dual-use foundation model.

Answer: A

Explanation:
The White House Executive Order from November 2023 requires companies developing dual-use foundation models to report on their current training or development activities, the results of red-team testing, and the physical and cybersecurity protection measures. However, it does not mandate reports on environmental impact studies for each dual-use foundation model. While environmental considerations are important, they are not specified in this context as a reporting requirement under this Executive Order.
Reference: AIGP BODY OF KNOWLEDGE, sections on compliance and reporting requirements, and the White House Executive Order of November 2023.

NEW QUESTION # 76
Business A sells software that provides users with writing and grammar assistance. Business B is a cloud services provider that trains its own AI models.
* Business A has decided to add generative AI features to their software.
* Rather than create their own generative AI model, Business A has chosen to license a model from Business B:
* Business A will then integrate the model into their writing assistance software to provide generative AI capabilities.
* Business A is most concerned that its writing assistance software could recommend toxic or obscene text to its users.
Which of the following governance processes should Business A take to best protect its users against potentially inappropriate text?

A. Business A should fine-tune the AI model on user-generated text that has been verified to be appropriate.
B. Business A should test that the AI model performs as expected and meets their minimum requirements for filtering toxic or obscene text.
C. Business A should ask Business B for detailed documentation on the generative AI model's training data and whether it contained toxic or obscene sources.
D. Business A should establish a user reporting feature that allows users to flag toxic or obscene text, and report any incidents to Business B.

Answer: B

Explanation:
Business A is integrating a generative AI model licensed from a third party (Business B) and is primarily concerned with the risk of toxic or obscene outputs being delivered to users. In this scenario,testing and validationof the AI model for such content risks is the most direct and effective governance strategy.
According to theAI Governance in Practice Report 2024, organizations thatdeployAI must engage in performance monitoring protocolsand ensure systems perform adequately for theirintended purposes, including filtering harmful content:
"Operational governance... development of: #Performance monitoring protocols to ensure systems perform adequately for their intended purposes." (p. 12)
"Product governance... includes: #System impact assessments to identify and address risk prior to product development or deployment." (p. 11) Furthermore, under theEU AI Act, which sets the global standard many organizations aim to align with, there is a clear obligation to test and monitor systems for potential harmful behavior:
"The act imposes regulatory obligations... such as establishing appropriate accountability structures,assessing system impact, providing technical documentation,establishing risk management protocols and monitoring performance..." (p. 7) Option B directly reflects this best practice ofpre-deployment testing and validationto ensure that the model aligns with Business A's minimum content safety requirements.
Let's now evaluate the incorrect options:
* A. Fine-tuning on verified user-generated textmay improve model alignment but does not guarantee that the model will generalize correctly, especially if Business A lacks access to model internals (common in third-party licensing scenarios). Fine-tuning also introduces its own risks and may be contractually restricted.
* C. A user reporting featureisreactive, not preventive. While helpful for long-term monitoring and mitigation, it does not prevent the initial harm of toxic outputs, which isBusiness A's primary concern.
* D. Requesting documentation from Business Bis useful for transparency and risk management, but it does not replaceindependent verificationthat the model meets Business A's content safety standards.
Thus,testing the model's behavior for unacceptable outputs before deploymentis the most aligned approach with AI governance best practices and obligations.

NEW QUESTION # 77
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