You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?
Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device," specifically a mobile phone, and the user may sometimes be in remote locations without regular access to the internet.
What's the most important thing to consider here?
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?
You're creating an AI-enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you're addressing? (Select all that apply.)
Your team is looking to develop an RPA bot to help with back-office processes such as data entry. What type of bot should your team be creating?
