AIGP PDF CRAM EXAM, AIGP CERTIFICATION TEST ANSWERS

AIGP PDF Cram Exam, AIGP Certification Test Answers

AIGP PDF Cram Exam, AIGP Certification Test Answers

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Tags: AIGP PDF Cram Exam, AIGP Certification Test Answers, Exam Dumps AIGP Provider, AIGP Free Updates, Exam AIGP Experience

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.
Topic 2
  • Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 3
  • Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.

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Latest IAPP AIGP Questions - Proven Way To Pass Exam

Our IAPP AIGP practice exam also provides users with a feel for what the real IAPP AIGP exam will be like. Both IAPP Certified Artificial Intelligence Governance Professional (AIGP) practice exams are the same as the Actual AIGP Test and give candidates the experience of taking the real IAPP Certified Artificial Intelligence Governance Professional (AIGP) exam. These AIGP practice tests can be customized according to your needs.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q47-Q52):

NEW QUESTION # 47
A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address.
If they want to make this self-driving car "strong" Al, as opposed to "weak," the engineers would also need to ensure?

  • A. That the Al can differentiate among ethnic backgrounds of pedestrians.
  • B. That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.
  • C. That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.
  • D. Thatthe Al has full human cognitive abilities that can independently decide where to take the driver.

Answer: D

Explanation:
Strong AI, also known as artificial general intelligence (AGI), refers to AI that possesses the ability to understand, learn, and apply intelligence across a broad range of tasks, similar to human cognitive abilities.
For the self-driving car to be classified as "strong" AI, it would need to possess full human cognitive abilities to make independent decisions beyond pre-programmed instructions. Reference: AIGP BODY OF KNOWLEDGE and AI classifications.


NEW QUESTION # 48
A Canadian company is developing an Al solution to evaluate candidates in the course of job interviews.
Before offering the Al solution in the EU market, the company must take all of the following steps EXCEPT?

  • A. Draw up technical documentation and instructions for use.
  • B. Establish a risk and quality management system.
  • C. Engage a third-party auditor to perform a bias audit.
  • D. Register the Al solution in a public EU database.

Answer: D

Explanation:
Before offering an AI solution in the EU market, a Canadian company must take several steps to comply with the EU AI Act. These steps include establishing a risk and quality management system (B), engaging a third-party auditor to perform a bias audit (C), and drawing up technical documentation and instructions for use (D). However, there is no requirement to register the AI solution in a public EU database (A). This registration step is not specified as part of the compliance requirements under the EU AI Act for such solutions.


NEW QUESTION # 49
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
Which stakeholder group is most important in selecting the specific type of algorithm?

  • A. The healthcare network'sdata science team.
  • B. The cloud provider.
  • C. The consulting firm.
  • D. The healthcare network's Al governance committee.

Answer: A

Explanation:
In selecting the specific type of algorithm for the AI solution, the healthcare network's data science team is most important. This team possesses the technical expertise and understanding of the data, the clinical context, and the performance requirements needed to make an informed decision about which algorithm is most suitable. While the cloud provider and consulting firm can offer support and infrastructure, and the AI governance committee provides oversight, the data science team's specialized knowledge is crucial for selecting and implementing the appropriate algorithm. Reference: AIGP Body of Knowledge, AI governance and team roles section.


NEW QUESTION # 50
What type of organizational risk is associated with Al's resource-intensive computing demands?

  • A. Third-party risk.
  • B. Security risk.
  • C. People risk.
  • D. Environmental risk.

Answer: D

Explanation:
AI's resource-intensive computing demands pose significant environmental risks. High-performance computing required for training and deploying AI models often leads to substantial energy consumption, which can result in increased carbon emissions and other environmental impacts. This is particularly relevant given the growing concern over climate change and the environmental footprint of technology. Organizations need to consider these environmental risks when developing AI systems, potentially exploring more energy-efficient methods and renewable energy sources to mitigate the environmental impact.


NEW QUESTION # 51
What is the primary reason the EU is considering updates to its Product Liability Directive?

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

Answer: B

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 # 52
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