Author: David Wilson (Cognitive Project Management in AI Specialist)
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Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system.What area of Trustworthy AI is being addressed here?
The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem.During phase I: Business Understanding, you should consider at least one of the following (Select all that apply):
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation.However, one of the teams using the model has seen a decrease in performance and is asking to use the original model.What critical error did your team make?
You're working with an inexperienced team and this is all their first AI project. You're trying to work on a supervised learning binary classification problem to determine if emails are spam or not.What is the best approach for this project?
Your team is looking to develop an RPA bot to help assist call center agents while on providing support. What type of bot should your team be creating?
During which phase of an AI project should you consider Trustworthy AI considerations?
You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?
You have an Anomaly Detection project you're working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?
Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected.What could have been done better to get the team to feel comfortable with this technology and use it? (Select all that apply.)
