Explore the complexities and ethical challenges of machine learning in this thought-provoking lecture by Brian Christian. Delve into the alignment problem, examining how AI systems can fail to meet human expectations and the potential risks that arise. Learn about issues in training data, representation in datasets, and the open category problem. Investigate fairness in machine learning, particularly in criminal justice applications, and understand the intricacies of reinforcement learning. Discover innovative approaches like TCAV, behavior cloning, and inverse reinforcement learning that aim to address these challenges. Gain insights into the ongoing efforts to create AI systems that better align with human values and expectations.