IAPP AIGP CERTIFICATION TRAINING: IAPP CERTIFIED ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL - PREPAWAYPDF VALUABLE RELIABLE STUDY PLAN FOR YOU

IAPP AIGP Certification Training: IAPP Certified Artificial Intelligence Governance Professional - PrepAwayPDF Valuable Reliable Study Plan for you

IAPP AIGP Certification Training: IAPP Certified Artificial Intelligence Governance Professional - PrepAwayPDF Valuable Reliable Study Plan for you

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q119-Q124):

NEW QUESTION # 119
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 ask Business B for detailed documentation on the generative AI model's training data and whether it contained toxic or obscene sources.
  • C. Business A should test that the AI model performs as expected and meets their minimum requirements for filtering toxic or obscene text.
  • 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: C

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 # 120
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
What are the roles and responsibilities of deployers of a proprietary model?

  • A. System documentation.
  • B. Ethical design.
  • C. Technical performance.
  • D. Regulatory compliance.
  • E. Ethical testing.

Answer: C,D,E

Explanation:
Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance.
From theAI Governance in Practice Report 2024:
"Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards." (p. 11-12)
"Operational governance... includes performance monitoring protocols, incident management plans, and regulatory oversight." (p. 12) Thus:
* #A. Ethical testing- Required to mitigate misuse and unintended harms.
* #B. Ethical design- Belongs todevelopers/providers, not deployers.
* #C. Technical performance- Deployers must ensure that AI performs as expected.
* #D. System documentation- This is theprovider'sobligation.
* #E. Regulatory compliance- Deployers must ensure system use complies with applicable laws.


NEW QUESTION # 121
You are a privacy program manager at a large e-commerce company that uses an Al tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.
A user submits a data access request under an applicable U.S. state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.
What is the most challenging aspect of managing this request?

  • A. Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.
  • B. The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.
  • C. The data subject's data is structured data that can be searched, compiled and reviewed only by an automated tool.
  • D. Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.

Answer: D

Explanation:
The most challenging aspect of managing a data access request in this scenario is dealing with unstructured data that cannot be easily disentangled from other data, including information about other individuals.
Unstructured data, such as free-text inputs or social media posts, often lacks a clear structure and may be intermingled with data from multiple individuals, making it difficult to isolate the specific data related to the requester. This complexity poses significant challenges in complying with data access requests under privacy laws. Reference: AIGP Body of Knowledge on Data Subject Rights and Data Management.


NEW QUESTION # 122
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 the time necessary to train employees on acceptable use.
  • C. Avoid needing to identify and hire qualified resources.
  • D. Avoid using technology that cannot be monetized.

Answer: A

Explanation:
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.


NEW QUESTION # 123
According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision?

  • A. Is authorized by applicable Ell law and includes suitable safeguards.
  • B. Is authorized with the data subject s explicit consent.
  • C. Is necessary for entering into or performing under a contract between the data subject and data controller.
  • D. Is deemed to solely benefit the individual and includes documented legitimate interests.

Answer: B

Explanation:
According to the GDPR, individuals have the right to not be subject to a decision based solely on automated processing, including profiling, which produces legal effects or similarly significantly affects them. However, there are exceptions to this right, one of which is when the decision is based on the data subject's explicit consent. This means that if an individual explicitly consents to the automated decision-making process, there is no requirement for human intervention to confirm or replace the decision. This exception ensures that individuals can have control over automated decisions that affect them, provided they have given clear and informed consent.


NEW QUESTION # 124
......

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