SMOOTHLY PREPARE BY USING THE IAPP AIGP PRACTICE TEST

Smoothly Prepare By Using The IAPP AIGP Practice Test

Smoothly Prepare By Using The IAPP AIGP Practice Test

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Tags: New AIGP Mock Test, AIGP Test Dumps.zip, Study AIGP Plan, New AIGP Test Topics, Valid Dumps AIGP Sheet

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 2
  • Contemplating Ongoing Issues and Concerns: The topic focuses on issues around AI governance.
Topic 3
  • Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q93-Q98):

NEW QUESTION # 93
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. Thatthe Al has full human cognitive abilities that can independently decide where to take the driver.
  • C. That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.
  • D. That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.

Answer: B

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 # 94
What is the primary purpose of an Al impact assessment?

  • A. To define and evaluate the legal risks associated with developing an Al system.
  • B. To identify and measure the benefits of an Al system.
  • C. To define and document the roles and responsibilities of Al stakeholders.
  • D. Anticipate and manage the potential risks and harms of an Al system.

Answer: D

Explanation:
The primary purpose of an AI impact assessment is to anticipate and manage the potential risks and harms of an AI system. This includes identifying the possible negative outcomes and implementing measures to mitigate these risks. This process helps ensure that AI systems are developed and deployed in a manner that is ethically and socially responsible, addressing concerns such as bias, fairness, transparency, and accountability. The assessment often involves a thorough evaluation of the AI system's design, data inputs, outputs, and the potential impact on various stakeholders. This approach is crucial for maintaining public trust and adherence to regulatory requirements.


NEW QUESTION # 95
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent.
The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
All of the following are potential negative consequences created by using the Al tool when making hiring decisions EXCEPT?

  • A. Civil rights violations.
  • B. Reputational harm.
  • C. Intellectual property infringement.
  • D. Discriminatory treatment.

Answer: C

Explanation:
The potential negative consequences of using an AI tool in hiring include reputational harm (A), civil rights violations (B), and discriminatory treatment (C). These issues stem from biases in the AI system or its misuse, which can lead to unfair hiring practices and legal liabilities. Intellectual property infringement (D) is not a typical consequence of using AI in hiring, as it relates to the unauthorized use of protected intellectual property, which is not directly relevant to the hiring process or the potential biases within AI tools.


NEW QUESTION # 96
Scenario:
Business A provides grammar and writing assistance tools and licenses a generative AI model from Business B to enhance its offerings. Business A is concerned that the AI model might produce inappropriate or toxic content and wants to implement governance processes to prevent this.
Which of the following governance processes should Business A take to best protect its users against potentially inappropriate text?

  • A. Business A should test that the AI model performs as expected and meets their minimum requirements for filtering toxic or obscene text
  • B. Business A should fine-tune the AI model on user-generated text that has been verified to be appropriate
  • 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: A

Explanation:
The correct answer is B. According to responsible AI practices, pre-deployment testing to ensure the model behaves as expected and aligns with organizational requirements is critical.
From the AIGP ILT Guide:
"Testing for unacceptable outcomes such as toxicity, discrimination, or hallucinations should be included in the AI governance life cycle, particularly during development and prior to deployment." Also emphasized in the AI Governance in Practice Report 2024:
"Organizations must verify legal and regulatory compliance, monitor performance, and mitigate risks prior to deployment." Testing the model to meet safety and appropriateness standards is more proactive and preventive than relying solely on user reporting or requesting documentation.


NEW QUESTION # 97
You are the chief privacy officer of a medical research company that would like to collect and use sensitive data about cancer patients, such as their names, addresses, race and ethnic origin, medical histories, insurance claims, pharmaceutical prescriptions, eating and drinking habits and physical activity.
The company will use this sensitive data to build an Al algorithm that will spot common attributes that will help predict if seemingly healthy people are more likely to get cancer. However, the company is unable to obtain consent from enough patients to sufficiently collect the minimum data to train its model.
Which of the following solutions would most efficiently balance privacy concerns with the lack of available data during the testing phase?

  • A. Deploy the current model and recalibrate it over time with more data.
  • B. Utilize synthetic data to offset the lack of patient data.
  • C. Refocus the algorithm to patients without cancer.
  • D. Extend the model to multi-modal ingestion with text and images.

Answer: B

Explanation:
Utilizing synthetic data to offset the lack of patient data is an efficient solution that balances privacy concerns with the need for sufficient data to train the model. Synthetic data can be generated to simulate real patient data while avoiding the privacy issues associated with using actual patient data. This approach allows for the development and testing of the AI algorithm without compromising patient privacy, and it can be refined with real data as it becomes available. Reference: AIGP Body of Knowledge on Data Privacy and AI Model Training.


NEW QUESTION # 98
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