The ethical implications of using data science in decision-making include concerns regarding privacy, bias, and accountability. As organizations increasingly rely on data analytics to drive decisions, there’s a risk of perpetuating existing biases inherent in datasets, leading to unfair outcomes. Additionally, the collection and use of personal data raise significant privacy issues, prompting calls for stricter regulations. Transparency in how data is collected, processed, and used is crucial to address public concerns and maintain trust in data-driven decision-making practices.