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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A) Explainable AI
B) Governed AI
C) Ethical AI
D) Responsible AI
E) Transparent AI

2. Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

A) Explainable AI
B) Governed AI
C) Responsible AI
D) Transparent AI

3. Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

A) Do not move forward with the project
B) Ask your customer service team to generate additional data for you to use for the project
C) Use the data that you have and keep the project moving
D) Research what Third-Party Models are available and purchase them to keep the project moving

4. As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

A) You're too small of an organization to be worried about laws at the moment
B) Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
C) Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States
D) Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC

5. You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

A) Find a project that requires 100% accuracy in the results and start with that one.
B) Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.
C) Go through all possible scenarios to come up with the perfect first project.
D) Ask key stakeholders from all groups for input about their pain points.

Solutions: