Developing AI Systems, Privacy, and Bias in Machine Learning

This chapter explores the process of developing AI systems and highlights the importance of user interviews, working with experts, and interrogating data to avoid potential failures in machine learning. They also discuss the deep dream project as an example of biased training data affecting the computer's representation of objects.