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Which of the following is NOT a common type of machine learning?

• A. Unsupervised learning.
• B. Reinforcement learning.
• C. Deep learning.
• D. Cognitive learning.

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. Copyright infringement.
• C. Technical complexity.
• D. Model accuracy.

When should an ethical impact assessment for AI be performed?

• A. When the system is ready for production and deployment.
• B. At the initial stages of AI system development and continually throughout its lifecycle.
• C. When the number of AI system users has reached a predefined threshold.
• D. After the AI system has encountered ethical issues in real-world applications.

What is the primary objective of continuous monitoring in the lifecycle of an AI tool?

• A. To periodically upgrade the AI tool's computational resources to maintain processing efficiency.
• B. To restrict the AI tool from accessing external data sources to maintain data privacy.
• C. To track and adjust the tool's performance in order to ensure that it meets its goals.
• D. To ensure that the AI tool's algorithm evolves independently to adapt to new data without human intervention.

CASE STUDY
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.
To 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 deploy 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.
The organization continues planning the adoption of an AI tool to support hiring, but is concerned about potential bias in content generated by AI systems and how that could affect public perception.
Which of the following measures should the company adopt tobest mitigate its risk of reputational harmfrom using the AI tool?

• A. Continue to require the company's hiring personnel to manually screen all applicants
• B. Test the AI tool pre- and post-deployment
• C. Ensure the vendor provides indemnification for the AI tool
• D. Require the procurement and deployment teams to agree upon the AI tool