Topic 1: Part 1
Which of the following disclosures is NOT required for an EU organization that developed and deployed a high-risk Al system?
A. The human oversight measures employed.
B. How an individual may contest a decision.
C. The location(s) where data is stored.
D. The fact that an Al system is being used.
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, costeffective
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.
Which of the following measures should XYZ adopt to best mitigate its risk of reputational
harm from using the Al tool?
A. Test the Al tool pre- and post-deployment.
B. Ensure the vendor assumes responsibility for all damages.
C. Direct the procurement team to select the most economical Al tool.
D. Continue to require XYZ's hiring personnel to manually screen all applicants.
Explanation: To mitigate the risk of reputational harm from using an AI hiring tool, XYZ Corp should rigorously test the AI tool both before and after deployment. Pre-deployment testing ensures the tool works correctly and does not introduce bias or other issues. Postdeployment testing ensures the tool continues to operate as intended and adapts to any changes in data or usage patterns. This approach helps to identify and address potential issues proactively, thereby reducing the risk of reputational harm. Ensuring the vendor assumes responsibility for damages (B) does not address the root cause of potential issues, selecting the most economical tool (C) may compromise quality, and continuing manual screening (D) defeats the purpose of using the AI tool.
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, costeffective
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.
If XYZ does not deploy and use the Al hiring tool responsibly in the United States, its
liability would likely increase under all of the following laws EXCEPT?
A. Anti-discriminationlaws.
B. Product liability laws.
C. Accessibility laws.
D. Privacy laws.
Explanation:
In the United States, the use of AI hiring tools must comply with anti-discrimination laws,
accessibility laws, and privacy laws to avoid increasing liability. Anti-discrimination laws (A)
ensure that hiring practices do not unlawfully discriminate against protected classes.
Accessibility laws (C) require that hiring tools are accessible to all applicants, including
those with disabilities. Privacy laws (D) govern the handling of personal data during the
hiring process. Product liability laws (B), however, typically apply to the safety and reliability
of physical products and would not generally increase liability specifically related to the
responsible use of AI hiring tools in the employment context.
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs
teachers to create and deliver enrichment courses for high school students. GVC has
learned that many of its teacher employees are using generative Al to create the
enrichment courses, and that many of the students are using generative Al to complete
their assignments.
In particular, GVC has learned that the teachers they employ used open source large
language models (“LLM”) to develop an online tool that customizes study questions for
individual students. GVC has also discovered that an art teacher has expressly
incorporated the use of generative Al into the curriculum to enable students to use prompts
to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
Which of the following risks should be of the highest concern to individual teachers using
generative Al to ensure students learn the course material?
A. Financial cost.
B. Model accuracy.
C. Technical complexity.
D. Copyright infringement.
Explanation:
The highest concern for individual teachers using generative AI to ensure students learn
the course material is model accuracy. Ensuring that the AI-generated content is accurate
and relevant to the curriculum is crucial for effective learning. If the AI model produces
inaccurate or irrelevant content, it can mislead students and hinder their understanding of
the subject matter.
Reference: According to the AIGP Body of Knowledge, one of the core risks posed by AI
systems is the accuracy of the data and models used. Ensuring the accuracy of AIgenerated
content is essential for maintaining the integrity of the educational material and
achieving the desired learning outcomes.
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?
A. GPUs run many tasks concurrently, resulting in faster processing.
B. GPUs can access memory quickly, resulting in lower latency than CPUs.
C. GPUs can run every task on a computer, making them more robust than CPUs.
D. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
Explanation: GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference: AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.
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