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Free AIGP Exam Braindumps (page: 7)

Page 7 of 26
PDF with 100 Questions

If it is possible to provide a rationale for a specific output of an Al system, that system can best be described as?

  1. Accountable.
  2. Transparent.
  3. Explainable.
  4. Reliable.

Answer(s): C

Explanation:

If it is possible to provide a rationale for a specific output of an AI system, that system can best be described as explainable. Explainability in AI refers to the ability to interpret and understand the decision-making process of the AI system. This involves being able to articulate the factors and logic that led to a particular output or decision. Explainability is critical for building trust, enabling users to understand and validate the AI system's actions, and ensuring compliance with ethical and regulatory standards. It also facilitates debugging and improving the system by providing insights into its behavior.



The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

  1. Establishing explain ability criteria to responsibly source and use data to train Al systems.
  2. Defining requirements specific to each industry sector and high-risk Al domain.
  3. Focusing on Al technical design and post-deployment monitoring.
  4. Balancing Al innovation with ethical considerations.

Answer(s): D

Explanation:

The OECD's Ethical AI Governance Framework aims to ensure that AI development and deployment are carried out ethically while fostering innovation. The framework includes principles like transparency, accountability, and human rights protections to prevent societal harm. It does not focus solely on technical design or post-deployment monitoring (C), nor does it establish industry- specific requirements (B).
While explainability is important, the primary goal is to balance innovation with ethical considerations (D).



The framework set forth in the White House Blueprint for an Al Bill of Rights addresses all of the following EXCEPT?

  1. Human alternatives, consideration and fallback.
  2. High-risk mitigation standards.
  3. Safe and effective systems.
  4. Data privacy.

Answer(s): B

Explanation:

The White House Blueprint for an AI Bill of Rights focuses on protecting civil rights, privacy, and ensuring AI systems are safe and effective. It includes principles like data privacy (D), human alternatives (A), and safe and effective systems (C). However, it does not specifically address high- risk mitigation standards as a distinct category (B).



A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant's education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.
Which of the following laws is NOT relevant to this use case?

  1. Fair Housing Act.
  2. Fair Credit Reporting Act.
  3. Equal Credit Opportunity Act.
  4. Title VII of the Civil Rights Act of 1964.

Answer(s): D

Explanation:

The U.S. mortgage company's AI platform relates to housing and credit, making the Fair Housing Act

(A), Fair Credit Reporting Act (B), and Equal Credit Opportunity Act (C) relevant. Title VII of the Civil Rights Act of 1964 deals with employment discrimination and is not directly relevant to the mortgage application context (D).



Page 7 of 26



Post your Comments and Discuss IAPP AIGP exam with other Community members:

g commented on July 12, 2024
good questions so far
Anonymous
upvote

g commented on July 12, 2024
good useful questions
Anonymous
upvote

Shifa S commented on July 04, 2024
Good set of questions
INDIA
upvote