It’s not just the process of collecting and storing data that needs to be handled in an ethical way. Once you’re ready to analyze and use this information, there are still plenty of concerns that need to be addressed. In this lesson, we discuss the different types of bias to be aware of, how they can affect the data you collect and analyze, and how to try and mitigate them where possible. We also explore some of the key ethical considerations to keep in mind when working with artificial intelligence and algorithms, and touch on the concerns surrounding personalization and targeting.