The significance of data ethics in machine learning stems from the need to ensure responsible and fair use of data in developing algorithms. Ethical considerations address issues like bias, transparency, and privacy, which can affect outcomes and social impact. Implementing data ethics in ML helps prevent discrimination and promotes accountability, ultimately fostering trust between organizations and users. As machine learning continues to evolve, maintaining ethical standards is critical to ensure that technologies serve all stakeholders equitably.