Alignment refers to the challenge of ensuring that AI systems' goals and actions are in harmony with human values and intentions. This involves designing algorithms that understand and prioritize what humans deem appropriate and beneficial. Misalignment can lead to unintended consequences, like AI systems optimizing for metrics that don't capture true human interests. Effective alignment requires continual monitoring and updating of AI objectives.