AIGP FREE PRACTICE EXAMS & EXAM AIGP REFERENCE

AIGP Free Practice Exams & Exam AIGP Reference

AIGP Free Practice Exams & Exam AIGP Reference

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?

  • A. Consulting experts to consider the ethical principles underpinning the use of Al within the organization.
  • B. Employing a new software platform to modernize existing compliance processes across the organization.
  • C. Launching a survey to understand the concerns and interests of potentially impacted stakeholders.
  • D. Conducting an assessment of existing compliance programs to determine overlaps and integration points.

Answer: B

Explanation:
When designing an integrated compliance strategy for responsible AI, the least likely step would be employing a new software platform to modernize existing compliance processes. While modernizing compliance processes is beneficial, it is not as directly related to the strategic integration of ethical principles and stakeholder concerns. More critical steps include conducting assessments of existing compliance programs to identify overlaps and integration points, consulting experts on ethical principles, and launching surveys to understand stakeholder concerns. These steps ensure that the compliance strategy is comprehensive and aligned with responsible AI principles. Reference: AIGP Body of Knowledge on AI Governance and Compliance Integration.


NEW QUESTION # 37
All of the following types of testing can help evaluate the performance of a responsible Al system EXCEPT?

  • A. Adversarial robustness.
  • B. Decision analysis.
  • C. Risk probability/severity.
  • D. Statistical sampling.

Answer: C

Explanation:
Risk probability/severity testing is not typically used to evaluate the performance of an AI system. While important for risk management, it does not directly assess an AI system's operational performance. Adversarial robustness, statistical sampling, and decision analysis are all methods that can help evaluate the performance of a responsible AI system by testing its resilience, accuracy, and decision-making processes under various conditions. Reference: AIGP Body of Knowledge on AI Performance Evaluation and Testing.


NEW QUESTION # 38
Under the Canadian Artificial Intelligence and Data Act, when must the Minister of Innovation, Science and Industry be notified about a high-impact Al system?

  • A. When use of the system causes or is likely to cause material harm.
  • B. Upon release of a new version of the system.
  • C. Upon initial deployment of the system.
  • D. When the algorithmic impact assessment has been completed.

Answer: C

Explanation:
According to the Canadian Artificial Intelligence and Data Act, high-impact AI systems must notify the Minister of Innovation, Science and Industry upon initial deployment. This requirement ensures that the authorities are aware of the deployment of significant AI systems and can monitor their impacts and compliance with regulatory standards from the outset. This initial notification is crucial for maintaining oversight and ensuring the responsible use of AI technologies. Reference: AIGP Body of Knowledge, domain on AI laws and standards.


NEW QUESTION # 39
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. The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.
  • B. Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.
  • 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 visitor's data is synthetic data that the company does not have to provide to the data subject.

Answer: B

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 # 40
What is the primary reason the EU is considering updates to its Product Liability Directive?

  • A. To increase the minimum warranty level for defective goods.
  • B. Address free and open-source software.
  • C. Address digital services and connected products.
  • D. To define new liability exemptions for defective products.

Answer: C

Explanation:
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.


NEW QUESTION # 41
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