Machine Learning Ethics refers to the principles and guidelines that govern the responsible use of machine learning technologies. It focuses on ensuring fairness, accountability, and transparency in algorithms, which can impact decision-making in various fields such as healthcare, finance, and law enforcement. Ethical considerations help prevent biases that may arise from training data and promote equitable outcomes for all individuals. Additionally, Machine Learning Ethics emphasizes the importance of privacy and data protection. As machine learning systems often rely on large datasets, it is crucial to safeguard personal information and ensure that users' rights are respected. By addressing these ethical concerns, developers can create more trustworthy and socially responsible AI systems.