Machine Learning Ethics addresses the moral and ethical implications of deploying machine learning systems, focusing on ensuring fairness, accountability, and transparency. It involves understanding and mitigating biases in data and algorithms, protecting privacy, and ensuring that AI systems are used responsibly and do not cause harm.