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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.
Which of the following measures should XYZ adopt to best mitigate its risk of reputational harm from using the Al tool?

• A. Ensure the vendor assumes responsibility for all damages.
• B. Continue to require XYZ's hiring personnel to manually screen all applicants.
• C. Test the Al tool pre- and post-deployment.
• D. Direct the procurement team to select the most economical Al tool.

CASE STUDY
Please use the following to answer the next question:
A small local flower delivery company operates a few stores and has a limited IT budget. To reduce the time spent on customer service, which is a major drain on employee time, the company plans to implement a simple but high-performance generative AI chatbot on its website. The chatbot will provide real-time, fact-based responses to customer inquiries and assist with order processing, helping to reduce incoming phone calls.
The company currently uses a single on-premises server for its order database and email system and has not yet partnered with a cloud provider.
An internal data privacy policy governs the use of customer dat
a. This policy, written before the adoption of AI, allows the use or transfer of customer data beyond name and contact information but requires that all such data be deleted after the order is completed. The company prefers to maintain this policy without changes.
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
Which of the following actions would necessitate a change to the company's privacy policy?

• A. The chatbot deployed on the company's website also scans the customer's appearance during use for signs of frustration or confusion while using the website.
• B. The chatbot stores inputs for use in Retrieval-Augmented Generation (RAG), but does not use those inputs for retraining the AI model.
• C. The flower shop transfers customer data to the third-party API running the chatbot so that the chatbot service can work as intended during each user session.
• D. Using data from each customer session with the chatbot for purposes of retraining the underlying model but deleting that data after each customer order is completed.
• E. Programming the chatbot to request the customer's name, telephone number, and address for order deliveries and keeping that data until after delivery of the product has been confirmed.

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

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

You are part of your organization's ML engineering team and notice that the accuracy of a model that was recently deployed into production is deteriorating.
What is the best first step address this?

• A. Conduct champion/challenger testing.
• B. Perform an audit of the model.
• C. Replace the model with a previous version.
• D. Run red-teaming exercises.